Title :
Subinterval cyclic MUSIC-robust DF with error in cycle frequency knowledge
Author :
Biedka, Thomas E. ; Agee, Brian G.
Author_Institution :
E-Systems Inc., Greenville, TX, USA
Abstract :
Cyclic MUSIC has been proposed as a direction finding technique that reduces the effects of noise and interference by exploiting the cyclostationarity of the signal of interest. The authors introduce two techniques for reducing the sensitivity of cyclic MUSIC to error in cycle frequency knowledge. Both techniques are shown to perform significantly better than conventional cyclic MUSIC when the cycle frequencies are not known precisely
Keywords :
parameter estimation; signal processing; Gaussian noise; cycle frequency knowledge error; cyclostationarity; direction finding technique; interference sensitivity reduction; noise sensitivity reduction; signal of interest; signal processing array processing; subinterval cyclic MUSIC; Background noise; Covariance matrix; Degradation; Direction of arrival estimation; Frequency estimation; Interference; Multiple signal classification; Noise reduction; Signal resolution; Working environment noise;
Conference_Titel :
Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-2470-1
DOI :
10.1109/ACSSC.1991.186453
