DocumentCode :
3096899
Title :
Bias and variance analysis of MUSIC location estimates
Author :
Xu, Xiao-Liang ; Buckley, Kevin
Author_Institution :
Dept. of Electr. Eng., Minnesota Univ., Minneapolis, MN, USA
fYear :
1990
fDate :
10-12 Oct. 1990
Firstpage :
332
Lastpage :
336
Abstract :
Presents a statistical performance analysis of the MUSIC location estimator. Explicit and concise asymptotical expressions for both the bias and variance of MUSIC location estimates are derived for multiple source cases. These expressions are valid over a wide range of SNR extending down into the resolution threshold region of MUSIC, where analysis is of particular interest. These expressions, though asymptotical, can also be accurately applied to limited number of observation cases. In comparison with previous analysis, this new statistical analysis results in significantly less complicated statistics and derivations and is more general in that it accurately examines both the bias and variance of MUSIC location estimates. Further, this analysis approach can be applied to other eigenspace spatial-spectrum based location estimators.<>
Keywords :
parameter estimation; signal processing; statistical analysis; MUSIC location estimates; asymptotical expressions; bias analysis; eigenspace spatial-spectrum based location estimators; resolution threshold region; statistical performance analysis; variance analysis; Analysis of variance; Computational complexity; Contracts; Multiple signal classification; Narrowband; Performance analysis; Sensor arrays; Sensor phenomena and characterization; Spatial resolution; Statistical analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location :
Rochester, NY, USA
Type :
conf
DOI :
10.1109/SPECT.1990.205602
Filename :
205602
Link To Document :
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