Robust decentralized direction-of-arrival estimation in contaminated noise

Author

Lee, David D. ; Kashyap, Rangasami L. ; Madan, Rabinder N.

Author_Institution

Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA

Volume

38

Issue

3

fYear

1990

fDate

3/1/1990 12:00:00 AM

Firstpage

496

Lastpage

505

Abstract

A novel scheme for direction-of-arrival (DOA) estimation is presented. The procedure provides estimates that are robust against outliers and distributional uncertainties. It also employs decentralized processing in which each subarray site provides a robust estimate of the number of sources accompanied by its corresponding reliability statistics, so that only the reliable estimates of the number of sources are combined at the fusion center. A robust technique is used to combine the corresponding DOA estimates from the subarray sites. Simulation results show that the scheme performs consistently when the outlier noise is present, whereas the performance of the corresponding nonrobust method deteriorates quickly even with a slight change of the noise environment. This is especially significant at a low signal-to-noise ratio

Keywords

estimation theory; random noise; reliability; signal detection; contaminated noise; decentralized processing; direction-of-arrival estimation; fusion center; low signal-to-noise ratio; reliability statistics; robust estimate; signal detection; subarray site; Direction of arrival estimation; Gaussian noise; Helium; Multiple signal classification; Noise robustness; Sensor arrays; Signal to noise ratio; Statistical distributions; Uncertainty; Working environment noise;

fLanguage

English

Journal_Title

Acoustics, Speech and Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

0096-3518

Type

jour

DOI

10.1109/29.106867

Filename

106867