DocumentCode
2155703
Title
A survey on the effect of small snapshots number and SNR on the efficiency of the MUSIC algorithm
Author
Ioannopoulos, G.A. ; Anagnostou, D.E. ; Chryssomallis, M.T.
Author_Institution
Dept. of Electr. & Comput. Eng., Democritus Univ. of Thrace, Xanthi, Greece
fYear
2012
fDate
8-14 July 2012
Firstpage
1
Lastpage
2
Abstract
The Multiple Signal Classification (MUSIC) algorithm is applied for a number of cases, in order to associate the performance of angular resolution of a Uniform Linear Array (ULA) with small number of snapshots and Signal-to-Noise Ratio (SNR). The discovery of low limits of these parameters is essential for the practical implementation of MUSIC. The resolution dependence is presented in diagrams and the results are compared with corresponding theoretical limits.
Keywords
array signal processing; signal classification; signal resolution; MUSIC algorithm; SNR; ULA; angular resolution performance; multiple signal classification algorithm; signal-to-noise ratio; small snapshot number; uniform linear array; Algorithm design and analysis; Arrays; Classification algorithms; Correlation; Multiple signal classification; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium (APSURSI), 2012 IEEE
Conference_Location
Chicago, IL
ISSN
1522-3965
Print_ISBN
978-1-4673-0461-0
Type
conf
DOI
10.1109/APS.2012.6349109
Filename
6349109
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