DocumentCode
3240311
Title
A study of improved spatial smoothing
Author
Yan, Huiqin ; Fan, H. Howard
Author_Institution
Dept. of ECECS, Cincinnati Univ., OH, USA
fYear
2004
fDate
18-21 Dec. 2004
Firstpage
238
Lastpage
241
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Information Technology, 2004. Proceedings of the Fourth IEEE International Symposium on
Print_ISBN
0-7803-8689-2
Type
conf
DOI
10.1109/ISSPIT.2004.1433730
Filename
1433730
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