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
fDate :
7/1/1992 12:00:00 AM
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;
Journal_Title :
Signal Processing, IEEE Transactions on