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International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing
International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing
召开年:
2015
召开地:
Pisa(IT)
出版时间:
-
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-
会议论文
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1.
Structure and rank awareness for error and data flow reduction in phase-shift-based ToF imaging systems using compressive sensing
机译:
基于相移的TOF成像系统的误差和数据流量减少的结构和等级意识
作者:
Conde Miguel Heredia
;
Hartmann Klaus
;
Loffeld Otmar
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2015年
关键词:
compressed sensing;
data acquisition;
direction-of-arrival estimation;
estimation theory;
image representation;
interference suppression;
iterative methods;
matrix algebra;
time measurement;
time-frequency analysis;
trees (mathematics);
MMV;
PMD depth sensor;
RA-ORMP algorithm;
compressive sensing;
data flow reduction;
depth estimation methods;
depth image;
error flow reduction;
light signal;
measurement matrix;
multiple measurement vector;
natural image tree structure;
noise reduction;
phase-shift based ToF imaging systems;
phase-shift-based time-of-flight imaging systems estimate;
photonic mixer device;
rank aware order recursive matching pursuit algorithm;
raw images;
reference signal;
sparse representation;
time measurements;
wavelet domain;
Cameras;
Compressed sensing;
Correlation;
Estimation;
Image resolution;
Radar imaging;
2.
Photonic compressive sensing of GHz-band RF signals
机译:
GHz带RF信号的光子压缩感测
作者:
Sefler George A.
;
Valley George C.
;
Shaw T. Justin
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2015年
关键词:
compressed sensing;
geophysical signal processing;
matrix algebra;
microwave photonics;
optical information processing;
radar signal processing;
remote sensing by radar;
signal sampling;
GHz-band RF signal;
chirped long-pulse signal;
frequency 2.453 GHz;
microwave photonics;
orthogonal matching pursuit;
photonic compressive sensing;
photonic multicoset sampling system;
random measurement matrices;
resource-limited remote sensing platform;
Chirp;
Frequency measurement;
Optical mixing;
Optical pulses;
Photonics;
RF signals;
Wideband;
microwave photonics;
multi-coset sampling;
optical signal processing;
3.
From weighted least squares estimation to sparse CS reconstruction
机译:
从加权最小二乘估计到稀疏CS重建
作者:
Loffeld Otmar
;
Espeter Thomas
;
Conde Miguel Heredia
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2015年
关键词:
Kalman filters;
compressed sensing;
least squares approximations;
minimisation;
observability;
recursive estimation;
signal reconstruction;
RIP based approaches;
a priory density distributions;
compressive sensing;
confidence levels;
deterministic observability;
engineering concepts;
estimation theory;
explicit constraint;
nonlinear observation;
nonstationary error;
recursive Kalman filtering;
reweighted ?lt;
subgt;
1lt;
/subgt;
-minimization;
space-variant sparsity;
sparse CS reconstruction;
stochastic observability;
time-variant sparsity;
weighted least squares estimation;
Compressed sensing;
Kalman filters;
Matching pursuit algorithms;
Mathematical model;
Null space;
Sensors;
Synthetic aperture radar;
?lt;
infgt;
1lt;
/infgt;
-minimization;
Kalman filter;
compressive sensing;
4.
An Augmented Lagrangian Method for autofocused Compressed SAR Imaging
机译:
一种增强拉格朗日方法,用于自动泡除压缩SAR成像
作者:
Gungor Alper
;
Cetin Mujdat
;
Guven H. Emre
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2015年
关键词:
Lagrangian field theory;
compressed sensing;
electromagnetic wave scattering;
error correction;
iterative methods;
radar imaging;
synthetic aperture radar;
1D phase errors;
ADMM based algorithm;
AIRWALM;
PGA;
SDA method;
alternating directions method of multipliers;
autofocus algorithm;
autofocused compressed SAR imaging;
autofocusing iteratively reweighted augmented Lagrangian method;
phase error correction;
phase gradient autofocus;
phase history domain;
reflectivity field;
sparsity driven autofocus method;
weakly-scattering background;
Compressed sensing;
Optimization;
Radar polarimetry;
Radar remote sensing;
Synthetic aperture radar;
5.
A sparse reduced-rank regression approach for hyperspectral image unmixing
机译:
稀疏降低秩秩的超细图像解密的回归方法
作者:
Giampouras Paris V.
;
Rontogiannis Athanasios A.
;
Koutroumbas Konstantinos D.
;
Themelis Konstantinos E.
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2015年
关键词:
hyperspectral imaging;
image processing;
inverse problems;
optimisation;
regression analysis;
sparse matrices;
abundance matrix;
coordinate descend type unmixing algorithm;
hyperspectral image unmixing;
inverse problem;
nuclear matrix norm;
optimization problem;
regularized linear regression problem;
semisupervised method;
sparse reduced-rank regression approach;
Correlation;
Hyperspectral imaging;
Minimization;
Optimization;
Sparse matrices;
Yttrium;
6.
Anti-jamming range imaging using slope-varying LFM signal based on compressed sensing
机译:
基于压缩检测的斜率不同LFM信号反干扰范围成像
作者:
Hongyan Yang
;
Zhen Liu
;
Xizhang Wei
;
Dongping Liao
;
Bo Peng
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2015年
关键词:
FM radar;
compressed sensing;
image filtering;
image representation;
jamming;
matched filters;
radar imaging;
DRFM;
DSR;
LFM;
anti jamming range imaging strategy;
compressed sensing theory;
digital radio frequency memory detective jammer;
false target generation;
false target recovery;
false target separation;
jamming level;
linear frequency modulation signal rate variation;
matched filtering;
radar echoed signal;
radar range profile imaging;
slope-varying LFM signal;
sparse representation algorithm;
the disturbance-signal-ratio;
true target recovery;
true target separation;
Compressed sensing;
Dictionaries;
Filtering;
Imaging;
Jamming;
Radar imaging;
anti-jamming;
compressed sensing (CS);
range imaging;
slope-varying(SV) signal;
sparse representation;
7.
Velocity false target identification in random pulse initial phase radar based on compressed sensing
机译:
基于压缩检测的随机脉冲初期阶段雷达中的速度假目标识别
作者:
Jinping Sui
;
Zhen Liu
;
Xizhang Wei
;
Xiang Li
;
Bo Peng
;
Dongping Liao
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2015年
关键词:
compressed sensing;
jamming;
object detection;
radar detection;
compressed sensing;
correlation processing;
digital radio frequency memory repeat jamming;
high sidelobe pedestal;
motion parameters;
phase randomness;
radar echo;
random pulse initial phase radar;
sidelobe characteristic;
sparsity-driven strategy;
target detecting;
true target echo;
velocity false target identification;
Compressed sensing;
Dictionaries;
Jamming;
Radar countermeasures;
Radar remote sensing;
compressed sensing;
false target identification;
moving target detection;
random pulse initial phase;
8.
Gradient algorithm based ISAR image reconstruction from the incomplete dataset
机译:
基于ISAR图像重建的INSAR图像重建
作者:
Dakovic Milos
;
Stankovic Ljubisa
;
Stankovic Srdjan
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2015年
关键词:
Fourier transforms;
compressed sensing;
gradient methods;
image reconstruction;
radar imaging;
synthetic aperture radar;
CS theory;
Fourier transform;
compressive sensing theory;
gradient algorithm based ISAR image reconstruction;
inverse synthetic aperture radar;
sparse signal processing;
sparse signal reconstruction;
Compressed sensing;
Discrete Fourier transforms;
Image reconstruction;
Radar imaging;
Radar remote sensing;
Reconstruction algorithms;
Compressive sensing;
Gradient algorithm;
ISAR;
9.
Ambiguity function surface when using prior information in compressive sensing and processing
机译:
使用先前信息在压缩传感和处理中的歧义功能表面
作者:
Kyriakides Ioannis
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2015年
关键词:
Doppler radar;
compressed sensing;
radar signal processing;
AFS;
adaptive CSP mechanism;
ambiguity function surface sidelobes;
compressive sensing-and-processing;
delay-Doppler plane;
high resolution delay-Doppler radar;
high resolution measurement acquisition;
high resolution processing;
low computational cost;
maximum sidelobe ratio;
prior information;
signal structure;
Compressed sensing;
Doppler radar;
Radar remote sensing;
Radar signal processing;
Sensors;
10.
DoA estimation with reflectarray according to single pixel camera principle
机译:
根据单像素相机原理,使用反射阵列进行估算
作者:
Skoblikov Sergii
;
Ibrahim Mohamed
;
Romer Florian
;
Thoma Reiner S.
;
Del Galdo Giovanni
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2015年
关键词:
compressed sensing;
direction-of-arrival estimation;
image sensors;
matrix algebra;
reflectarray antennas;
DoA estimation;
antenna array;
compressed sensing;
direction-of-arrival estimation;
nonsparse beampattern;
numeric simulation;
reflectarray propagation model;
sensing functions;
sensing matrix;
single pixel camera principle;
Antenna arrays;
Antenna measurements;
Arrays;
Compressed sensing;
Direction-of-arrival estimation;
Sensors;
Compressed Sensing;
Direction-of-arrival estimation;
Reflectarray;
11.
Compressed time difference of arrival based emitter localization
机译:
基于到达的辐射器本地化的压缩时间差
作者:
Schmitz Johannes
;
Mathar Rudolf
;
Dorsch Dominik
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2015年
关键词:
compressed sensing;
radionavigation;
time-of-arrival estimation;
compressed time difference-of-arrival;
distributed sensor network;
emitter localization;
joint spatial sparsity;
nonlinear hyperbolic equations;
positioning;
radio wave emitter location estimation;
sampling rate;
Compressed sensing;
Estimation;
Joints;
Radar;
Receivers;
Signal to noise ratio;
Transmitters;
Block Sparsity;
Compressed Sensing;
Joint Sparsity;
Positioning;
Spatial Sparsity;
TDOA;
12.
Sparsifying time-frequency distributions for gravitational wave data analysis
机译:
对重力波数据分析的缩小时频分布
作者:
Addesso P.
;
Longo M.
;
Marano S.
;
Matta V.
;
Pinto I.M.
;
Principe M.
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2015年
关键词:
data analysis;
gravitational waves;
signal detection;
signal representation;
time-frequency analysis;
Wigner-Ville distribution;
gravitational wave data analysis;
interferometric detectors;
nonstationary disturbances;
signal detection;
time-frequency distributions;
time-frequency sparsity;
Detectors;
Optimization;
Shape;
Skeleton;
Smoothing methods;
Time-frequency analysis;
Transient analysis;
13.
Generalized line spectral estimation for radar and localization
机译:
雷达和定位的广义线谱谱估计
作者:
Reinhard Heckel
;
Mahdi Soltanolkotabi
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Estimation;
Radar imaging;
Radar remote sensing;
Dictionaries;
Compressed sensing;
Doppler radar;
14.
Bird body and wing-beat radar Doppler signature separation using sparse optimization
机译:
使用稀疏优化的鸟体和翼拍多普勒签名分离
作者:
Masoud Farshchian
;
Ivan Selesnick
;
Ankit Parekh
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Birds;
Radar cross-sections;
Doppler effect;
Doppler radar;
Radar remote sensing;
Transforms;
15.
Multi-circular synthetic aperture radar imaging processing procedure based on compressive sensing
机译:
基于压缩传感的多圆形合成孔径雷达成像处理
作者:
Qian Bao
;
Yun Lin
;
Wen Hong
;
Bingchen Zhang
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Image reconstruction;
Imaging;
Synthetic aperture radar;
Radar imaging;
Compressed sensing;
Image resolution;
16.
Direction of arrival estimation for quasi-stationary signals using nested circular array
机译:
嵌套圆形阵列的准静止信号的到达方向
作者:
Thomas Basikolo
;
Koichi Ichige
;
Hiroyuki Arai
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Direction-of-arrival estimation;
Estimation;
Sensor arrays;
Optimization;
Radar;
Sonar;
17.
An effective and efficient long-time coherent integration method for highly maneuvering radar target in sparse domain
机译:
一种稀疏域高机动雷达目标的有效高效的长时间相干集成方法
作者:
Xiaolong Chen
;
Xiaohan Yu
;
Jian Guan
;
You He
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Doppler effect;
Time-frequency analysis;
Radar;
Transforms;
Compressed sensing;
Object detection;
Clutter;
18.
Blind deconvolution and compressed sensing
机译:
盲折叠和压缩传感
作者:
Dominik St?ger
;
Peter Jung
;
Felix Krahmer
;
Zentrum Mathematik
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Compressed sensing;
Convolution;
Deconvolution;
Radar;
Receivers;
Coherence;
Conferences;
19.
Compressive tomographic radar imaging with total variation regularization
机译:
具有总变化正则化的压缩断层雷达成像
作者:
Dehong Liu
;
Ulugbek S. Kamilov
;
Petros T. Boufounos
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Radar imaging;
Imaging;
Three-dimensional displays;
TV;
Image resolution;
Apertures;
20.
A procedure for optimal pulse selection strategy in radar imaging systems
机译:
雷达成像系统中最佳脉冲选择策略的过程
作者:
Milo? Dakovi?
;
Ljubis? Stankovi?
;
Srdjan Stankovi?
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Radar imaging;
Image reconstruction;
Compressed sensing;
Radar remote sensing;
Signal processing;
Discrete Fourier transforms;
21.
Online blind deconvolution for sequential through-the-wall-radar-imaging
机译:
在线盲解卷积,用于顺序通过墙壁雷达成像
作者:
Hassan Mansour
;
Ulugbek Kamilov
;
Dehong Liu
;
Philip Orlik
;
Petros Boufounos
;
Kieran Parsons
;
Anthony Vetro
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Kernel;
Deconvolution;
Tensile stress;
Radar;
Convolution;
Receivers;
Minimization;
22.
Recursive enhancement of intrinsic soft information for complex reed-solomon codes
机译:
复杂芦苇型码内部软信息的递归增强
作者:
Mostafa H. Mohamed
;
Henning Z?rlein
;
Martin Bossert
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Decoding;
Approximation algorithms;
Compressed sensing;
Matching pursuit algorithms;
Conferences;
Radar remote sensing;
23.
Compressive sensing in pulse radar using prior information
机译:
使用先前信息的脉冲雷达压缩感测
作者:
Assem M. Assem
;
Richard M. Dansereau
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Compressed sensing;
Minimization;
Radar tracking;
Radar remote sensing;
Optimization;
24.
Multi-target super-resolution using compressive sensing arguments for multipath interference recovery
机译:
使用压缩传感参数进行多径干扰恢复的多目标超分辨率
作者:
Vinh Nguyen Xuan
;
Klaus Hartmann
;
Wolfgang Weihs
;
Otmar Loffeld
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Frequency measurement;
Compressed sensing;
Noise measurement;
Signal resolution;
Correlation;
Image reconstruction;
Cameras;
25.
Compressive space-time adaptive processing airborne radar with random pulse repetition interval and random arrays
机译:
采用随机脉冲重复间隔和随机阵列的压缩空间自适应加工机载雷达
作者:
Zhaocheng Yang
;
Guihua Quan
;
Yuanbin Ma
;
Jianjun Huang
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Clutter;
Sensors;
Doppler effect;
Radar clutter;
Doppler radar;
Covariance matrices;
26.
Weighted sparse Bayesian learning (WSBL) for basis selection in linear underdetermined systems
机译:
加权稀疏贝叶斯学习(WSBL)在线性下列系统中的基础选择
作者:
Ahmed Al Hilli
;
Laleh Najafizadeh
;
Athina Petropulu
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Bayes methods;
Minimization;
Convergence;
Conferences;
Compressed sensing;
Radar remote sensing;
27.
Compressive sensing methods for radar cross section ISAR measurements
机译:
雷达横截面ISAR测量的压缩传感方法
作者:
Christer Larsson
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Azimuth;
Compressed sensing;
Signal to noise ratio;
Radar cross-sections;
Logic gates;
Radar imaging;
28.
ISAR resolution enhancement via compressive sensing: A comparison with state of the art SR techniques
机译:
ISAR分辨率通过压缩感测增强:与现有技术的技术比较
作者:
A. Bacci
;
E. Giusti
;
D. Cataldo
;
S. Tomei
;
M. Martorella
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Signal resolution;
Spatial resolution;
Radar;
Image reconstruction;
Compressed sensing;
Performance analysis;
29.
Single frequency surveillance radar network using an adapted ? minimization approach for extended targets
机译:
单频监控雷达网络使用适应?扩展目标的最小化方法
作者:
Matthias Wei?
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Surveillance;
Transmitters;
Receivers;
Compressed sensing;
Radar remote sensing;
Passive radar;
30.
Cognitive sub-Nyquist hardware prototype of a collocated MIMO radar
机译:
认知子奈奎斯特的配套MIMO雷达的硬件原型
作者:
Kumar Vijay Mishra
;
Eli Shoshan
;
Moshe Namer
;
Maxim Meltsin
;
David Cohen
;
Ron Madmoni
;
Shahar Dror
;
Robert Ifraimov
;
Yonina C. Eldar
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Prototypes;
MIMO;
Radar antennas;
Receiving antennas;
MIMO radar;
31.
Optimum linear array geometry with minimum redundancy for 2q-th order cumulant-based array processing
机译:
最佳线性阵列几何与最小冗余的第2季度基于累积阵列的阵列处理
作者:
Yuki Iizuka
;
Koichi Ichige
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Geometry;
Direction-of-arrival estimation;
Annealing;
Estimation;
Sensor arrays;
Radar;
Sonar;
32.
Compressive sensing for very high frequency radar with application to low-angle target tracking under multipath interference
机译:
利用应用于低角度目标跟踪的高频雷达压缩检测
作者:
Yuan Liu
;
Bo Jiu
;
Hongwei Liu
;
Lei Zhang
;
Yongbo Zhao
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Dictionaries;
Compressed sensing;
Estimation;
Signal processing algorithms;
Direction-of-arrival estimation;
Radar remote sensing;
33.
Combined based on minimum distance orthogonal matching pursuit method for support recovery improvement in super-resolution compressed sensing
机译:
基于最小距离正交匹配追求追踪方法,用于超分辨率压缩传感的支持恢复改进
作者:
Vinh Nguyen Xuan
;
Klaus Hartmann
;
Wolfgang Weihs
;
Otmar Loffeld
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Matching pursuit algorithms;
Signal resolution;
Sensors;
Spatial resolution;
Compressed sensing;
Optimization;
34.
Compressive sensing and generalized likelihood ratio test in SAR tomography
机译:
SAR断层扫描中的压缩传感和广义似然比测试
作者:
Gianfranco Fornaro
;
Antonio Pauciullo
;
Diego Reale
;
Matthias Wei?
;
Alessandra Budillon
;
Gilda Schirinzi
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Synthetic aperture radar;
Tomography;
Compressed sensing;
Sensors;
Three-dimensional displays;
Azimuth;
Coherence;
35.
Compressive spectrum sensing with spectral priors for cognitive radar
机译:
具有认知雷达的光谱前导谱的压缩频谱感测
作者:
Ali Koochakzadeh
;
Heng Qiao
;
Piya Pal
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Sensors;
Correlation;
Noise reduction;
Frequency estimation;
Compressed sensing;
36.
Separation of chirp scattered returns from a mixture of sinusoidal tones in noise
机译:
分离啁啾散射从噪音中的正弦色调的混合物返回
作者:
Masoud Farshchian
;
Ivan Selesnick
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Chirp;
Radar scattering;
Radar remote sensing;
Sonar;
Mathematical model;
Time-frequency analysis;
37.
Off the grid time delay estimation for sparse translation-invariant signals
机译:
关闭稀疏平移 - 不变信号的电网时间延迟估计
作者:
Yongsung Park
;
Woojae Seong
;
Youngmin Choo
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Delay effects;
Estimation;
Compressed sensing;
Minimization;
Radar;
Chirp;
Conferences;
38.
On the dimensionality of wall and target return subspaces in through-the-wall radar imaging
机译:
关于墙壁雷达成像的墙壁和目标回报子空间的维数
作者:
Zhihui Zhu
;
Michael B. Wakin
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Antenna measurements;
Dictionaries;
Clutter;
Handheld computers;
Radar imaging;
Radar antennas;
39.
Towards single-pixel FMCW radar reconstruction
机译:
朝着单像素FMCW雷达重建
作者:
Benjamin Fürsich
;
Richard Bamler
;
Sven Augustin
;
Heinz-Wilhelm Hübers
;
Xiao Xiang Zhu
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Radar imaging;
Imaging;
Image reconstruction;
Compressed sensing;
Three-dimensional displays;
Reflectivity;
40.
A non-convex blind calibration method for randomised sensing strategies
机译:
随机传感策略的非凸盲校准方法
作者:
Valerio Cambareri
;
Laurent Jacques
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Sensors;
Calibration;
Convergence;
Inverse problems;
Complexity theory;
Radio frequency;
Compressed sensing;
41.
CFAR detection for the complex approximated message passing reconstructed SAR image
机译:
CFAR检测复杂近似消息通过重建SAR图像
作者:
Hui Bi
;
Bingchen Zhang
;
Xiao Xiang Zhu
;
Wen Hong
;
Yirong Wu
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Image reconstruction;
Synthetic aperture radar;
Clutter;
Radar imaging;
Radar polarimetry;
Signal processing algorithms;
42.
A comparison of compressive sensing and fourier reconstructions for radar target recognition
机译:
雷达目标识别的压缩感测和傅里叶重建的比较
作者:
David Blacknell
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Image reconstruction;
Training;
Synthetic aperture radar;
Radar imaging;
Compressed sensing;
Clutter;
43.
Multiple target tracking using thermal imaging and radar sensors
机译:
使用热成像和雷达传感器的多个目标跟踪
作者:
Ioannis Kyriakides
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Sensors;
Radar tracking;
Target tracking;
Radar measurements;
Atmospheric measurements;
Particle measurements;
44.
Single-snapshot DoA estimation using adaptive elastic net in the complex domain
机译:
使用复杂域中的自适应弹性网的单快照DOA估计
作者:
Muhammad Naveed Tabassum
;
Esa Ollila
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Signal processing algorithms;
Charge coupled devices;
Coherence;
Optimization;
Estimation;
Compressed sensing;
Direction-of-arrival estimation;
45.
Analysis of noise and nonsparsity in the ISAR image recovery from a reduced set of data
机译:
从减少数据集中分析ISAR图像恢复中的噪声和非策略
作者:
Ljubi?a Stankovi
;
Isidora Stankovi
;
Milos Dakovi
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Image reconstruction;
Chirp;
Manganese;
Scattering;
Compressed sensing;
Radar imaging;
46.
OFDM SAR multiple targets image reconstruction using MUSIC-LSE algorithm
机译:
OFDM SAR多个目标使用Music-LSE算法重建图像重建
作者:
Mohammed D. Buhari
;
Gui Y. Tian
;
Rajesh Tiwari
;
Ruslee Sutthaweekul
;
Ali H. Muqaibel
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Synthetic aperture radar;
Radar imaging;
Image reconstruction;
OFDM;
Multiple signal classification;
Image resolution;
47.
ISAR imaging using a null space ?1 minimizing Kalman filter approach
机译:
ISAR成像使用NULL空间?1最小化卡尔曼滤波器方法
作者:
Ling Wang
;
Otmar Loffeld
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Null space;
Imaging;
Matching pursuit algorithms;
Image reconstruction;
Kalman filters;
Sensors;
Radar imaging;
48.
Recovery guarantees for high resolution radar sensing with compressive illumination
机译:
具有压缩照明的高分辨率雷达检测的恢复保障
作者:
Nithin Sugavanam
;
Siddharth Baskar
;
Emre Ertin
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
radar imaging;
compressed sensing;
FM radar;
image resolution;
image sampling;
matrix algebra;
49.
On pre-whitening and accuracy in DOA estimation by sparse signal processing on beamformed data
机译:
关于波束成形数据稀疏信号处理在DOA估计中的预美白和准确性
作者:
D. J. Bekers
;
W. L. van Rossum
;
S. Jacobs
;
M. J. C. Heiligers
;
L. Anitori
;
E. Stolp
;
L. Cifola
;
M. Podt
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Direction-of-arrival estimation;
Interpolation;
Signal to noise ratio;
Compressed sensing;
Radar remote sensing;
Arrays;
50.
A dual-deconvolution algorithm for radar and communication black-space spectrum sharing
机译:
雷达和通信黑色空间谱共享的双折叠算法
作者:
Masoud Farshchian
;
Ivan Selesnick
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Convolution;
Radar remote sensing;
Discrete Fourier transforms;
Wireless communication;
Linear programming;
Baseband;
51.
False alarms in radar detection within sparse-signal processing
机译:
稀疏信号处理中雷达检测中的误报
作者:
Radmila Pribi?
;
Han Lun Yap
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Sensors;
Measurement;
Radar detection;
Coherence;
Compressed sensing;
Probability;
52.
The hybrid Cramér-Rao bounds on elevation in compressive sensing SAR tomography
机译:
HybridCramér-Rao在压缩传感SAR断层扫描的升高上界限
作者:
Bo Yang
;
Huaping Xu
;
Yanan You
;
Xiaozhen Xie
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Synthetic aperture radar;
Compressed sensing;
Tomography;
Correlation;
Standards;
Radar imaging;
53.
Super resolution of synthetic aperture radar data by convex optimization
机译:
通过凸优化超级分辨率的合成孔径雷达数据
作者:
Filippo Biondi
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Synthetic aperture radar;
Image resolution;
Signal resolution;
Jamming;
Radar imaging;
Chirp;
54.
Sub-Nyquist radar with optimized sensing matrices — performance evaluation based on simulations and measurements
机译:
具有优化传感矩阵的子奈奎斯特雷达 - 基于模拟和测量的性能评估
作者:
Hannes Stahl
;
Jan Mietzner
;
Martin Kirscht
;
Robert F. H. Fischer
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Coherence;
Apertures;
Radar remote sensing;
Bandwidth;
Correlation;
Compressed sensing;
55.
Maritime vehicle tracking using underwater gliders and particle filters
机译:
使用水下滑翔机和粒子过滤器进行海上车辆跟踪
作者:
Ioannis Kyriakides
;
Ehsan Abdi
;
Daniel Hayes
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Target tracking;
Radar tracking;
Sonar equipment;
Sensor arrays;
Compressed sensing;
Engines;
56.
Multi-channel SAR covariance matrix estimation based on compressive covariance sensing
机译:
基于压缩协方差传感的多通道SAR协方差矩阵估计
作者:
Zhe Zhang
;
Zhi Tian
;
Bingchen Zhang
;
Wen Hong
;
Yirong Wu
;
Li Li
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Synthetic aperture radar;
Radar imaging;
Covariance matrices;
Imaging;
Estimation;
Sensors;
57.
Autofocus algorithm for radar/sonar imaging by exploiting the continuity structure
机译:
雷达/声纳成像通过利用连续性结构自动对焦算法
作者:
Lu Wang
;
Lifan Zhao
;
Xiangyang Zeng
;
Qiang Wang
;
Jiang Qian
;
Guoan Bi
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Radar imaging;
Imaging;
Bayes methods;
Compressed sensing;
Radar remote sensing;
Probabilistic logic;
58.
Stochastic resolution analysis via a GLR test in radar
机译:
雷达中的GLR测试随机分辨率分析
作者:
Radmila Pribi?
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Signal resolution;
Stochastic processes;
Radar;
Sensors;
Signal to noise ratio;
Spatial resolution;
Doppler effect;
59.
Simplified chirp dictionary for time-frequency signature sparse reconstruction of radar returns
机译:
用于雷达返回的时频签名稀疏重建的简化啁啾词典
作者:
Yen Nguyen
;
Des McLernon
;
Mounir Ghogho
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Chirp;
Dictionaries;
Time-frequency analysis;
Compressed sensing;
Radar remote sensing;
Sonar;
60.
Adaptive sub-nyquist sampling based on haar wavelet and compressive sensing in pulsed radar
机译:
基于HAAR小波的自适应子奈奎斯特采样和脉冲雷达压缩感测
作者:
Assem M. Assem
;
Richard M. Dansereau
;
Fathy M. Ahmed
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Wavelet transforms;
Radar;
Signal processing algorithms;
Signal resolution;
Compressed sensing;
Analog-digital conversion;
61.
Simple adaptive progressive edge-growth construction of LDPC codes for close(r)-to-optimal sensing in pulsed ToF
机译:
简单的自适应渐进式边缘 - 增长的LDPC码,用于关闭(R) - 脉冲TOF中的最佳感测
作者:
Miguel Heredia Conde
;
Klaus Hartmann
;
Otmar Loffeld
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Sensors;
Sparse matrices;
Parity check codes;
Kernel;
Signal to noise ratio;
Compressed sensing;
Symmetric matrices;
62.
Decentralized multi-agent entropy-driven exploration under sparsity constraints
机译:
稀疏限制下分散的多档熵驱动探索
作者:
Christoph Manss
;
Dmitriy Shutin
;
Thomas Wiedemann
;
Alberto Viseras
;
Joachim Mueller
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Estimation;
Robot sensing systems;
Sparse matrices;
Compressed sensing;
Algorithm design and analysis;
Conferences;
63.
Fast antenna characterization via a sparse spherical multipole expansion
机译:
通过稀疏球面多极扩展的快速天线特征
作者:
David L?schenbrand
;
Christoph Mecklenbrauker
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Antenna measurements;
Compressed sensing;
Estimation;
Standards;
Antennas;
Q measurement;
Minimization;
64.
Low rank plus sparse decomposition of synthetic aperture radar data for maritime surveillance
机译:
低级别加稀疏分解合成孔径雷达数据的海上监控
作者:
Filippo Biondi
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Synthetic aperture radar;
Sparse matrices;
Matrix decomposition;
Videos;
Spaceborne radar;
Doppler effect;
65.
Compressed sensing for the detection of moving targets from short sequences of pulses: Special section “sparse reconstruction in remote sensing”
机译:
从脉冲短序列中检测移动目标的压缩感测:特别部分“遥感中的稀疏重建”
作者:
Ludger Prünte
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Clutter;
Compressed sensing;
Image reconstruction;
Radar remote sensing;
Remote sensing;
Synthetic aperture radar;
66.
Coherent distributed array imaging under unknown position perturbations
机译:
在未知位置扰动下的相干分布式阵列成像
作者:
Dehong Liu
;
Ulugbek S. Kamilov
;
Petros T. Boufounos
会议名称:
《International Workshop on Compressed Sensing Theory and its Applications to Radar, Sonar and Remote Sensing》
|
2016年
关键词:
Radar imaging;
Sensor arrays;
Image sensors;
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