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Type: Conference paper
Title: ML estimation and CRB for narrowband AR signals on a sensor array
Author: White, L.
Sherman, P.
Citation: Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing / sponsored by the Institute of Electrical and Electronics Engineers Signal Processing Society. ICASSP (Conference), 2014, pp.2262-2266
Publisher: Institute of Electrical and Electronics Engineers Inc.
Issue Date: 2014
Series/Report no.: International Conference on Acoustics Speech and Signal Processing ICASSP
ISBN: 9781479928927
ISSN: 1520-6149
Conference Name: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014) (4 May 2014 - 9 May 2014 : Florence, Italy)
Statement of
Langford B White, Peter J Sherman
Abstract: This paper considers the exploitation of temporal correlation in incident sources in a narrowband array processing scenario. The MLE and CRB are derived for parameter estimation of spatially uncorrelated first order Gaussian autoregressive source signals with additive Gaussian spatially and temporally uncorrelated sensor noise. These are compared to the MLE and CRB for the usual uncorrelated (WN) sources model. The paper deals with the case where the number of data snapshots is small. Numerical simulations show that (i) there is no significant performance gain in the correlated signal case, and significantly, (ii) the WN MLE performance does degrade in the presence of source correlation, which appears to be in contrast to some recently published work.
Keywords: array signal processing
direction-of-arrival estimation
autoregressive models
maximum likelihood
Rights: © 2014 IEEE
DOI: 10.1109/ICASSP.2014.6854002
Appears in Collections:Aurora harvest 3
Electrical and Electronic Engineering publications

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