Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/97084
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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: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014), 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) (04 May 2014 - 09 May 2014 : Florence, Italy)
Statement of
Responsibility: 
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
RMID: 0030028377
DOI: 10.1109/ICASSP.2014.6854002
Appears in Collections:Electrical and Electronic Engineering publications

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