DocumentCode :
821361
Title :
Direction-of-arrival estimation via exploitation of cyclostationary-a combination of temporal and spatial processing
Author :
Xu, Guanghan ; Kailath, Thomas
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
Volume :
40
Issue :
7
fYear :
1992
fDate :
7/1/1992 12:00:00 AM
Firstpage :
1775
Lastpage :
1786
Abstract :
Many modulated communication signals exhibit a cyclostationarity (or periodic correlation) property, corresponding to the underlying periodicity arising from carrier frequencies or band rates. By exploiting cyclostationarity, i.e. evaluating the cyclic correlations of the received data at certain cycle frequencies, one can extract the cyclic correlations of only signals with the same cycle frequency and null out the cyclic correlations of stationary additive noise and all other cochannel interferences with different cycle frequencies. Thus, the signal detection capability can be significantly improved. An approach for exploiting cyclostationarity that is asymptotically exact for either narrowband or broadband sources, unlike previous methods, is proposed. The method also has significant implementational advantages over the earlier techniques. The simulation results indicate a significantly better performance in some environments
Keywords :
correlation methods; interference suppression; noise; parameter estimation; signal processing; band rates; broadband sources; carrier frequencies; cochannel interferences; cyclic correlations; cyclostationarity; direction-of-arrival estimation; narrowband sources; periodic correlation; received data; signal detection capability; spatial processing; stationary additive noise; temporal processing; Array signal processing; Bandwidth; Data mining; Direction of arrival estimation; Frequency; Narrowband; Radar tracking; Sensor arrays; Signal processing; Signal processing algorithms;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.143448
Filename :
143448
Link To Document :
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