DocumentCode :
3047686
Title :
The FPSO-DML algorithm for 1-DOA estimation of wideband signals
Author :
Yang, Jing-wen ; Wang, Jin-long ; Xu, Yi-tao ; Ma, Xu ; Pang, Xing-hao
Author_Institution :
Unit 68304, PLA, Lintong, China
fYear :
2010
fDate :
21-23 Oct. 2010
Firstpage :
1
Lastpage :
4
Abstract :
The 1-DOA estimation algorithm is used to estimate azimuth of signals. DML (Determined Maximum Likelihood) is a kind of algorithm for parameter estimation of determined narrowband signals, which theoretically has advantages of high precise as well as high suppression to strong noise and coherent signals. However, there are problems of high computation complexity and local convergence. Therefore, the algorithm named FPSO-DML (Fission Particle Swarm Optimization-DML) is put forward in this paper, which could get accurately global optimum root of DML function at a cost of low computation. Then, the wideband signal is decomposed into narrowband signal at different frequency by FFB, which is used to estimate 1-DOA by FPSO-DML algorithm. Simulations prove that the RMSE curve of proposed algorithm approach CRB of DML algorithm, and having strong ability of tolerating coherent wideband signals.
Keywords :
direction-of-arrival estimation; maximum likelihood estimation; mean square error methods; particle swarm optimisation; 1-DOA estimation; CRB algorithm; FPSO-DML algorithm; RMSE curve; coherent signals; computation complexity; determined maximum likelihood; fission particle swarm optimization; narrowband signals; noise suppression; parameter estimation; wideband signals; Azimuth; Estimation; Multiple signal classification; Narrowband; Particle swarm optimization; Signal processing algorithms; Wideband; DML; DOA; FFB; PSO; wideband signals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications and Signal Processing (WCSP), 2010 International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-1-4244-7556-8
Electronic_ISBN :
978-1-4244-7554-4
Type :
conf
DOI :
10.1109/WCSP.2010.5633502
Filename :
5633502
Link To Document :
بازگشت