Robust Modification of the EM-Algorithm for Parametric Multitrajectory Estimation in Noise and Clutter

机译：噪声和杂波参数多轨迹估计的EM算法的鲁棒修改

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摘要

A robust family of algorithms generalizing the EM-algorithm for fitting parametric deterministic multi-trajectories observed in Gaussian noise and clutter is proposed. It is based on the M-estimation generalizing the Maximum Likelihood estimation in the M-step of the EM-algorithm. Simulation results of the comparative performance of our algorithm and the traditional EM-algorithm in noise and clutter are described.

机译：提出了一种鲁棒的算法算法，该算法概括了用于拟合在高斯噪声和杂波中观测到的参数确定性多轨迹的EM算法。它基于在EM算法的M步中推广最大似然估计的M估计。描述了我们算法与传统EM算法在噪声和杂波方面的比较性能的仿真结果。

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来源
《NATO Advanced Study Institute on Data Fusion for Situation Monitoring, Incident Detection, Alert and Response Management; 20030819-29; Yerevan(AM)》|2003年|P.575-586|共12页
会议地点 Yerevan(AM)
作者
Mikhail B. MALYUTOV; M. LU;
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作者单位

Department of Mathematics, Northeastern University, Boston, USA;

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会议组织
原文格式 PDF
正文语种 eng
中图分类信息处理（信息加工）;
关键词
Parametric deterministic multi-trajectory estimation; generalized EM-algorithms; M-estimation; simulation of performance;

机译：参数确定性多轨迹估计；广义EM算法； M估计；性能仿真;

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1. Performance comparison of a linear parametric noise estimation Wiener filter and non-linear joint transform correlator for realistic clutter backgrounds [J] . Sovira Tan, Rupert C.D. Young, David M. Budgett Optics Communications: A Journal Devoted to the Rapid Publication of Short Contributions in the Field of Optics and Interaction of Light with Matter . 2000,第1a3期

机译：线性参量噪声估计维纳滤波器和非线性联合变换相关器在真实杂波背景下的性能比较
2. Parametric texture estimation and prediction using measured sea clutter data [J] . Ing Keith, Morelande Mark R., Suvorova Sofia, Radar, Sonar & Navigation, IET . 2016,第3期

机译：使用测得的海杂波数据进行参数纹理估计和预测
3. Model-based clutter cancellation based on enhanced knowledge-aided parametric covariance estimation [J] . Bang Jeong, Melvin William, Lanterman Aaron Aerospace and Electronic Systems, IEEE Transactions on . 2015,第1期

机译：基于增强知识辅助参数协方差估计的基于模型的杂波消除
4. Robust Modification of the EM-Algorithm for Parametric Multitrajectory Estimation in Noise and Clutter [C] . Mikhail B. MALYUTOV, M. LU, NATO NATO Advanced Study Institute on Data Fusion for Situation Monitoring, Incident Detection, Alert and Response Management . 2005

机译：噪声和杂波中参数多识别估计EM算法的鲁棒修改
5. Modeling and Parameter Estimation of Sea Clutter Intensity in Thermal Noise [D] . Northrop, Judith A. 2019

机译：热噪声中海杂波强度的建模和参数估计
6. There Is a U in Clutter: Evidence for Robust Sparse Codes Underlying Clutter Tolerance in Human Vision [O] . Patrick H. Cox, Maximilian Riesenhuber 2015

机译：杂波中有一个 U：人类视觉中杂波容差背后的强大稀疏代码的证据
7. ROBUST ESTIMATION OF THE CLUTTER SUBSPACE FOR A LOW RANK HETEROGENEOUS NOISE UNDER HIGH CLUTTER TO NOISE RATIO ASSUMPTION [O] . A. Breloy, G. Ginolhac, F. Pascal, 2015

机译：高杂波下低噪声非均匀噪声的杂波子空间稳态估计

Robust Modification of the EM-Algorithm for Parametric Multitrajectory Estimation in Noise and Clutter

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