Title :
A study of improved spatial smoothing
Author :
Yan, Huiqin ; Fan, H. Howard
Author_Institution :
Dept. of ECECS, Cincinnati Univ., OH, USA
Abstract :
In this paper, we will show that improved spatial smoothing (ISS), combining with the conventional MUSIC does not work unless the signal to noise ratio (SNR) is high. To solve the problem when SNR is low, we propose in this paper, to either search for signal or noise subspace in a different way from the conventional MUSIC, or eliminate the noise by exploiting cyclostationarity of the signals.
Keywords :
array signal processing; direction-of-arrival estimation; signal denoising; smoothing methods; DOA estimation; ISS; SNR; direction-of-arrival estimation; improved spatial smoothing; signal cyclostationarity; signal to noise ratio; Autocorrelation; Decorrelation; Direction of arrival estimation; Eigenvalues and eigenfunctions; Equations; Interference; Matrices; Multiple signal classification; Signal to noise ratio; Smoothing methods;
Conference_Titel :
Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on
Print_ISBN :
0-7803-8689-2
DOI :
10.1109/ISSPIT.2004.1433730
