DocumentCode :
924577
Title :
Second-order properties of MUSIC and ESPRIT estimates of sinusoidal frequencies in high SNR scenarios
Author :
Eriksson, A. ; Stoica, P. ; Söderström, T.
Author_Institution :
Dept. of Technol., Uppsala Univ., Sweden
Volume :
140
Issue :
4
fYear :
1993
fDate :
8/1/1993 12:00:00 AM
Firstpage :
266
Lastpage :
272
Abstract :
Expressions are presented for the variance of the MUSIC and ESPRIT estimates of sinusoidal frequencies, for situations when the signal-to-noise ratio (SNR) is high and the number of data is limited. The high SNR variance expressions are compared to the large sample variance expressions presented by Stoica and Soderstrom. The high SNR variance expressions are also valid for reasonable values of the SNR, and should be regarded as a complement to the large sample variance expressions. The theoretical results are supported by Monte Carlo simulations
Keywords :
parameter estimation; signal processing; ESPIRIT estimates; MUSIC estimates; Monte Carlo simulations; high SNR variance; large sample variance; second order properties; signal-to-noise ratio; sinusoidal frequencies;
fLanguage :
English
Journal_Title :
Radar and Signal Processing, IEE Proceedings F
Publisher :
iet
ISSN :
0956-375X
Type :
jour
Filename :
224135
Link To Document :
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