A suprathreshold stochastic resonance based pre-processor for direction-of-arrival estimation

Author

Roy, Vijayendra Mohan ; Anand, G.V.

Author_Institution

Dept. of Electr. Commun. Eng., Indian Inst. of Sci., Bangalore

fYear

2006

fDate

14-17 Nov. 2006

Firstpage

1

Lastpage

4

Abstract

In this paper we propose a nonlinear preprocessor for enhancing the performance of processors used for direction-of-arrival (DOA) estimation in heavy-tailed non-Gaussian noise. The preprocessor, based on the phenomenon of suprathreshold stochastic resonance (SSR), provides SNR gain. The preprocessed data is used for DOA estimation by the MUSIC algorithm. Simulation results are presented to show that the SSR preprocessor provides a significant improvement in the performance of MUSIC in heavy-tailed noise at low SNR

Keywords

array signal processing; direction-of-arrival estimation; parallel processing; program processors; signal classification; stochastic processes; DOA; MUSIC algorithm; SSR; direction-of-arrival estimation; heavy-tailed nonGaussian noise; multiple signal classification; nonlinear preprocessor; performance enhancement; suprathreshold stochastic resonance; Data models; Direction of arrival estimation; Gaussian noise; Multiple signal classification; Performance gain; Sensor arrays; Signal to noise ratio; Stochastic resonance; Strontium; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2006. 2006 IEEE Region 10 Conference

Conference_Location

Hong Kong

Print_ISBN

1-4244-0548-3

Electronic_ISBN

1-4244-0549-1

Type

conf

DOI

10.1109/TENCON.2006.343688

Filename

4142266