A stochastic geometric approach to sensor array processing

Vo, Ba-Ngu; Vo, Ba Tuong

doi:10.1109/SSP.2014.6884619

Access Status

Fulltext not available

Authors

Vo, Ba-Ngu

Vo, Ba Tuong

Date

2014

Type

Conference Paper

Metadata

Show full item record

Citation

Vo, B. and Vo, B. 2014. A stochastic geometric approach to sensor array processing, in Proceedings of the 2014 IEEE Workshop on Statistical Signal Processing (SSP), Jun 29-Jul 2 2014, pp. 236-239. Gold Coast, Qld, IEEE.

Source Title

IEEE Workshop on Statistical Signal Processing Proceedings

DOI

10.1109/SSP.2014.6884619

ISBN

9781479949755

School

Department of Electrical and Computer Engineering

URI

http://hdl.handle.net/20.500.11937/30044

Collection

Curtin Research Publications

Abstract

A new unified mathematical framework for sensor array processing is proposed. The proposed framework combines Bayesian estimation with stochastic geometry to accommodate prior information, uncertainty in array parameters, and unknown and stochastically time-varying number of nonstationary sources. A system model for a common signal setting is constructed to demonstrate the proposed framework.