Detection of the number of signals using predictive stochastic complexity

Author

Valaee, Shahrokh ; Kabal, Peter

Author_Institution

Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada

Volume

5

fYear

1992

fDate

23-26 Mar 1992

Firstpage

345

Abstract

A new algorithm for the processing of signals by an array of sensors is proposed. The objective is to find the number and the directions of arrival (DOA) of signals impinging on a linear array. The predictive stochastic complexity criterion of Rissanen (1986) is used to select the best model order. To reduce the computational load, the algorithm operates with a suboptimal estimator while maintaining the consistency of the estimator. The proposed method is on-line and can be utilized in time-varying systems for target tracking. The method can be used for both correlated and uncorrelated signals

Keywords

array signal processing; filtering and prediction theory; signal detection; tracking; algorithm; correlated signals; directions of arrival; linear array; model order; predictive stochastic complexity; sensors array; signal detection; signal processing; suboptimal estimator; target tracking; time-varying systems; uncorrelated signals; Array signal processing; Direction of arrival estimation; Maximum likelihood estimation; Parameter estimation; Predictive models; Recursive estimation; Sensor arrays; Signal processing; Signal processing algorithms; Stochastic processes;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1992. ICASSP-92., 1992 IEEE International Conference on

Conference_Location

San Francisco, CA

ISSN

1520-6149

Print_ISBN

0-7803-0532-9

Type

conf

DOI

10.1109/ICASSP.1992.226612

Filename

226612