首页> 外国专利> Detecting and localization method of unknown signal using aircraft with ADS-B system

Detecting and localization method of unknown signal using aircraft with ADS-B system

机译：具有ADS-B系统的飞机对未知信号的检测与定位方法

页面导航

摘要
著录项
相似文献

摘要

A method of detecting an unknown signal and estimating a source location of the unknown signal using aircraft based on an automatic dependent surveillance-broadcast (ADS-B) system is provided. The method includes a first step (S100) for obtaining from a plurality of airborne aircrafts provided with a network system, aircraft signals transmitted to an air traffic control (ATC) and a second step (S200) for detecting, by the ATC, a presence of an unknown signal in the aircraft signals based on one of a time difference of arrival (TDOA) method, a time of arrival (TOA) method, and an angle of arrival (AOA) method. The method further includes a third step (S300) for estimating the source location of the unknown signal and a fourth step (S400) for transmitting unknown signal generation information associated with the unknown signal and the source location of the unknown signal to neighboring aircraft and the ATC.

机译：提供了一种基于自动相关监视广播（ADS-B）系统的使用飞行器检测未知信号并估计未知信号的源位置的方法。该方法包括第一步骤（S 100 ），该步骤用于从配备有网络系统的多架空中飞机获得传输到空中交通管制（ATC）的飞机信号;第二步骤（S 200 ），以通过ATC根据到达时间差（TDOA）方法，到达时间（TOA）方法和角度之一来检测飞机信号中是否存在未知信号到达（AOA）方法。该方法还包括第三步骤（S 300 ），用于估计未知信号的源位置;第四步骤（S 400 ），用于发送与未知信号以及未知信号到邻近飞机和ATC的源位置。 展开▼

著录项

公开/公告号US10429513B2

专利类型

公开/公告日2019-10-01

原文格式PDF

申请/专利权人 KOREA AEROSPACE RESEARCH INSTITUTE;
展开▼

申请/专利号US201615214194

发明设计人 YOUNGSUN YUN;JEONGHO CHO;MOONBEOM HEO;GIWOOK NAM;
展开▼

申请日2016-07-19

分类号G01S19/21;G01S5/02;G01S5;G01S5/04;G01S5/06;G01S19/03;

国家 US

入库时间 2022-08-21 12:16:00

相似文献

专利

外文文献

中文文献

1. 基于ADS-B广播信号飞机航路监测方法、装置及计算机存储介质 [P] . 中国专利： CN110673087B . 2020.04.14

2. 基于ADS-B广播信号飞机航路监测方法、装置及计算机存储介质 [P] . 中国专利： CN110673087A . 2020-01-10

3. Detecting and localization method of unknown signal using aircraft with ADS-B system [P] . 美国专利： US10539679B2 . 2020-01-21

机译：具有ADS-B系统的飞机对未知信号的检测与定位方法

4. DETECTING AND LOCALIZATION METHOD OF UNKNOWN SIGNAL USING AIRCRAFT WITH ADS-B SYSTEM [P] . 美国专利： US2017131411A1 . 2017-05-11

机译： ADS-B系统的飞机信号未知检测与定位方法

5. Detecting and localization method of unknown signal using aircraft with ADS-B system [P] . 美国专利： US9429655B2 . 2016-08-30

机译：具有ADS-B系统的飞机对未知信号的检测与定位方法

1. Research on the detecting methods of singularity in deformation signal based on two kinds of wavelet entropy [J] . ZHANG Hua-rong, QU Guo-qing, REN Ting 煤炭学报：英文版 . 2012,第002期

2. Array Shape Estimation Using Partitioned Eigenstructure Method with Sources in Unknown Localizations [J] . Changgeng Shuai, Shike Zhang, Jiaxuan Yang, 声音与振动(英文) . 2018,第004期

3. Effective path planning method for low detectable aircraft [J] . Wang Lingxiao, Zhou Deyun 系统工程与电子技术（英文版） . 2009,第004期

4. Analysis of Radar and ADS-B Influences on Aircraft Detect and Avoid (DAA) Systems [J] . William Semke, Nicholas Allen, Asma Tabassum, Aerospace . 2017,第3期

5. Detect and Avoid for Small Unmanned Aircraft Systems Using ADS-B [J] . Laith R. Sahawneh, Matthew O. Duffield, Randal W. Beard, Air Traffic Control Quarterly . 2015,第2a3期

6. Assessing the Effect of ADS-B Message Drop-Out in Detect and Avoid of Unmanned Aircraft System Using Monte Carlo Simulation [J] . Asma Tabassum, William Semke Safety . 2018,第4期

7. μADS-B Detect and Avoid Flight Tests on Phantom 4 Unmanned Aircraft System [C] . Ricardo Arteaga, Mike Dandachy, Hong Truong, AIAA information systems-AIAA infotech@aerospace;AIAA SciTech forum . 2018

8. Trilateration-based localization algorithm for ADS-B radar systems. [D] . Huang, Ming-Shih. 2013

9. A Method for Detecting Atmospheric Lagrangian Coherent Structures Using a Single Fixed-Wing Unmanned Aircraft System [O] . Peter J. Nolan, Hunter G. McClelland, Craig A. Woolsey, 2019

10. Analysis of Radar and ADS-B Influences on Aircraft Detect and Avoid (DAA) Systems [O] . William Semke, Nicholas Allen, Asma Tabassum, 2017

1. BACKGROUND： Vibrio vulnifi cus inside the body could activate the NF-!B signaling pathwayand initiate the inflammatory cascade. The lung is one of the earliest organs affected by sepsisassociated with acute lung injury. High mobility group protein B1 （HMGB1） is an important late-actingpro-infl ammatory cytokine involving in the pathophysiology of sepsis. It is also involved in the injuryprocess in the lung, liver and intestine. There has been no report on the involvement of HMGB1 inVibrio vulnifi cus sepsis-induced lung injury.METHODS： Sixty rats were randomly divided into a normal control group （group A, n=10） anda Vibrio vulnificus sepsis group （group B, n=50）. Sepsis was induced in the rats by subcutaneousinjection of Vibrio vulnificus （concentration 6×108 cfu/mL, volume 0.1 mL/100g）） into the left lowerlimbs. The rats in group B were sacrifi ced separately 1, 6, 12, 24, and 48 hours after the infection.Their lungs were stored as specimens, lung water content was measured, and lung pathology wasobserved under a light microscope. The expressions of the HMGB1 gene and protein in the lungswere detected by RT-PCR and Western blot. Data were analyzed with one-way analysis of variance（ANOVA） and the LSD method for pair-wise comparison between the two groups. P〈0.05 wasconsidered statistically signifi cant.RESULTS： Compared to group A （0.652±0.177）, HMGB1 mRNA expression in the lungs ofgroup B was signifi cantly higher at 0 hour （1.161±0.358, P=0.013）, 24 hours （1.679±0.235, P=0.000）,and 48 hours （1.258±0.274, P=0.004）（P〈0.05）, and peaked at 24 hours. Compared to group A（0.594±0.190）, HMGB1 protein expression at 6 hours （1.408±0.567, P=0.026） after infection wassignificantly increased （P〈0. 05）, and peaked at 24 hours （2.415±1.064, P=0.000） after infection.Compared to group A （0.699±0.054）, lung water content was significantly increased at 6 hours（0.759±0.030, P=0.001）,12 hours （0.767±0.023, P=0.000）, 24 hours （0.771±0.043, P=0.000） and 48hours （0.789±0.137, P=0.000） after infection （P〈0.05）. Compared to group A, pathological changesat 12 hours in group B indicate marked pulmonary vascular congestion, interstitial edema andinfl ammatory infi ltration. Alveolar cavity collapse and boundaries of the alveolar septum could not beclearly identifi ed.CONCLUSION： Vibrio vulnifi cus sepsis can lead to injury in rat lungs, and increased HMGB1expression in lung tissue may be one of the mechanisms for injury from Vibrio vulnifi cus sepsis. [J] . Qiao-meng Qiu ,Zhong-wang Li ,Lu-ming Tang . 世界急诊医学杂志(英文) . 2011,第4期

2. Mode Recognition of Lamb Wave Detecting Signals in Metal Plate Using the Hilbert-Huang Transform Method [J] . Yu Zhang ,Shen Wang ,Songling Huang . 传感技术（英文） . 2015,第1期

3. 具有未知内反馈通道的闭环系统黑箱辨识方法 [C] . 沈玉阶 . 1993年中国控制与决策学术年会 . 1993

4. 基于混沌系统的未知频率微弱信号的检测方法研究 [A] . 杨帆 . 2020