A stochastic geometric approach to sensor array processing

Vo, Ba-Ngu; Vo, Ba Tuong

doi:http://doi.org/10.1109/SSP.2014.6884619

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Authors

Vo, Ba-Ngu

Vo, Ba Tuong

Date

2014

Type

Conference Paper

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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.

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

URI

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

DOI

http://doi.org/10.1109/SSP.2014.6884619

Department

Department of Electrical and Computer Engineering

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Research Papers