A method for nonasymptotic performance analyses of array signal processing algorithms

Author

Silverstein, Seth D.

Author_Institution

Gen. Electr. Corp. Res. & Dev. Center, Schenectady, NY, USA

Volume

41

Issue

11

fYear

1994

fDate

11/1/1994 12:00:00 AM

Firstpage

772

Lastpage

774

Abstract

This work features a stochastic perturbation theoretic approach that can be used to calculate the performance analyses of array signal processing algorithms for the nonasymptotically large, moderate data regimes that are appropriate for many practical system applications. As an example, the perturbation method is used to develop the expressions for the moments of the MUSIC null spectrum at moderate SNR for independent data snapshot numbers as low as ~5. Theoretical predictions are shown to be in good agreement with empirical statistical simulation results

Keywords

algorithm theory; array signal processing; perturbation techniques; stochastic processes; MUSIC spectrum; array signal processing algorithms; nonasymptotic performance analyses; stochastic perturbation theoretic approach; Algorithm design and analysis; Frequency; Multiple signal classification; Performance analysis; Quantum mechanics; Sensor arrays; Signal analysis; Signal processing algorithms; Stochastic systems; Vectors;

fLanguage

English

Journal_Title

Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7130

Type

jour

DOI

10.1109/82.331550

Filename

331550