DOA estimation of nonstationary sources with time-frequency maximum likelihood method

被引:0
|
作者
Tian, D [1 ]
Huang, KJ [1 ]
Chen, TQ [1 ]
机构
[1] Univ Elect Sci & Technol China, Coll Elect Engn, Chengdu 610054, Peoples R China
关键词
nonstationary; time-frequency maximum likelihood; DOA estimation; crossterm;
D O I
10.1109/ICCCAS.2004.1346310
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Direction finding of nonstationary signals by using antenna array is of growing interest in the signal processing community. We develop a time-frequency maximum likelihood method based on the cross Pseudo Wigner-Ville Distributions (PWVDs) between the array signal vector and the satellite sensor output to obtain the DOA estimates. Compared with the methods based on the STFD (Spatial Time-Frequency Distributions) matrices, the proposed method can make full use of the crossterm TFDs between sources, and signal selective direction finding can be realized with much simpler computation. Moreover, the proposed method can handle signals with the same time-frequency signature. Numerical simulations are provided to demonstrate the validity of the method.
引用
收藏
页码:835 / 839
页数:5
相关论文
共 50 条
  • [31] Maximum Likelihood DOA Estimation Aided by Magnitude Measurements
    Liang, Ningbo
    Wang, Shengchu
    [J]. 2022 14TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING, WCSP, 2022, : 707 - 712
  • [32] Acoustic DOA Estimation: An Approximate Maximum Likelihood Approach
    Lee, Juo-Yu
    Hudson, Ralph E.
    Yao, Kung
    [J]. IEEE SYSTEMS JOURNAL, 2014, 8 (01): : 131 - 141
  • [33] Maximum likelihood DOA estimation in cyclic cumulant domains
    Li, JX
    Bao, Z
    [J]. PROCEEDINGS OF THE IEEE SIGNAL PROCESSING WORKSHOP ON HIGHER-ORDER STATISTICS, 1999, : 336 - 339
  • [34] Threshold performance analysis of maximum likelihood DOA estimation
    Forster, P
    Larzabal, P
    Boyer, E
    [J]. IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2004, 52 (11) : 3183 - 3191
  • [35] Research of Time-frequency Analysis Method of Nonstationary Periodic Signal
    Zhou, Qiang
    Han, Jiuqiang
    Zhou, Qiang
    [J]. 2008 IEEE CONFERENCE ON ROBOTICS, AUTOMATION, AND MECHATRONICS, VOLS 1 AND 2, 2008, : 459 - +
  • [36] On Maximum Likelihood DOA Estimation for Space Surveillance Radar
    Neuberger, Nadav
    Vehmas, Risto
    [J]. 29TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2021), 2021, : 1880 - 1884
  • [37] DOA ESTIMATION OF CLOSELY-SPACED AND SPECTRALLY-OVERLAPPED SOURCES BASED ON TIME-FREQUENCY SPARSE REPRESENTATION
    Zheng, Ling
    Zhang, Haijian
    Sun, Hong
    [J]. 2016 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING PROCEEDINGS, 2016, : 3266 - 3270
  • [38] Unbiased maximum likelihood estimator for underwater DOA estimation
    Hou, Yunshan
    Zhang, Lijie
    Huang, Jianguo
    [J]. ICIEA 2008: 3RD IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, PROCEEDINGS, VOLS 1-3, 2008, : 976 - 979
  • [39] Genetic algorithm based maximum likelihood DOA estimation
    Li, M
    Lu, Y
    [J]. RADAR 2002, 2002, (490): : 502 - 506
  • [40] Robust Stochastic Maximum Likelihood Algorithm for DOA Estimation of Acoustic Sources in the Spherical Harmonic Domain
    Lolaee, Hossein
    Akhaee, Mohammad Ali
    [J]. 2018 26TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO), 2018, : 351 - 355