DocumentCode :
390440
Title :
A new simplified temporal-spatial maximum likelihood algorithm for DOA estimation
Author :
Yongbo, Zhao ; Shouhong, Zhang
Author_Institution :
Key Lab. for Radar Signal Process., Xidian Univ., Xi´´an, China
Volume :
1
fYear :
2002
fDate :
26-30 Aug. 2002
Firstpage :
174
Abstract :
For the purpose of improving DOA estimation performance, we propose a new simplified temporal-spatial maximum likelihood algorithm. Instead of using discrete Fourier transform (DFT) filters, the proposed algorithm uses special Doppler filters to process the received data according to the signal´s Doppler frequency. The processed data are then used by the maximum likelihood algorithm to estimate DOA. Because the special Doppler filters can greatly reduce the influences between signals, the proposed algorithm works significantly better than the simplified temporal-spatial maximum likelihood algorithm. Computer simulation results are presented and demonstrate the merits of the proposed algorithm.
Keywords :
Doppler effect; direction-of-arrival estimation; discrete Fourier transforms; filtering theory; maximum likelihood estimation; DFT filters; DOA estimation; Doppler filters; Doppler frequency; discrete Fourier transform filters; temporal-spatial algorithm; temporal-spatial maximum likelihood algorithm; Direction of arrival estimation; Doppler radar; Filters; Frequency; Maximum likelihood estimation; Multiple signal classification; Sensor arrays; Sensor systems; Signal processing; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing, 2002 6th International Conference on
Print_ISBN :
0-7803-7488-6
Type :
conf
DOI :
10.1109/ICOSP.2002.1181018
Filename :
1181018
Link To Document :
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