Title :
A new array signal processing method via exploitation of cyclostationarity
Author :
Xu, Guanghan ; Kailath, Thomas
Author_Institution :
Inf. Syst. Lab., Stanford Univ., CA, USA
Abstract :
The authors consider the problem of direction finding of radar or sonar communication signals based on the data received by sensor arrays. Most communication (modulated) signals exhibit cyclostationarity corresponding to the underlying periodicity which may be carrier frequency or baud rate. By exploiting cyclostationarity, one can significantly improve the signal detection capability, i.e. null out other co-channel interferences and stationary background noise. They propose a new approach for array signal processing via exploitation of cyclostationarity, which is asymptotically exact for either narrow-band or broad-band sources. Moreover, the new technique has implementation advantages over the existing techniques. The simulation results indicate a significantly better performance than that of the prior algorithms.<>
Keywords :
correlation methods; radar theory; signal detection; signal processing; sonar; array signal processing; baud rate; broad-band sources; carrier frequency; co-channel interferences; cyclostationarity; narrow-band sources; radar; sensor arrays; signal detection capability; signal direction finding; sonar communication; spectral correlation; stationary background noise; underlying periodicity; Array signal processing; Background noise; Frequency; Interference; Narrowband; Radar signal processing; Sensor arrays; Signal detection; Signal processing algorithms; Sonar;
Conference_Titel :
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location :
Rochester, NY, USA
DOI :
10.1109/SPECT.1990.205553