Mitigating the effects of array uncertainties on the performance of the MUSIC algorithm

Author

Ratnarajah, I.

Author_Institution

Commun. Res. Lab., McMaster Univ., Hamilton, Ont., Canada

fYear

1998

fDate

14-16 Sep 1998

Firstpage

236

Lastpage

239

Abstract

A novel robust technique is proposed to mitigate the degrading effects of finite sampling and imprecise modeling on the performance of the MUSIC (multiple signal classification) algorithm. Firstly, a new array-signal state-space model is developed for a general array geometry. Based on this model, formulated in a mixed H²/H^∞ framework, a new robust direction-finding technique is proposed. Finally, this theoretical framework is supported by simulation examples which demonstrate the robustness of the new technique to the presence of array uncertainties and signal correlation

Keywords

H^∞ optimisation; array signal processing; direction-of-arrival estimation; signal classification; signal sampling; MUSIC algorithm; array uncertainties; array-signal state-space model; finite sampling; general array geometry; imprecise modeling; mixed H²/H^∞ framework; multiple signal classification; performance; robust direction-finding technique; signal correlation; simulation; Degradation; Hydrogen; Multiple signal classification; Phased arrays; Robustness; Sampling methods; Sensor arrays; Signal processing algorithms; State-space methods; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Statistical Signal and Array Processing, 1998. Proceedings., Ninth IEEE SP Workshop on

Conference_Location

Portland, OR

Print_ISBN

0-7803-5010-3

Type

conf

DOI

10.1109/SSAP.1998.739378

Filename

739378