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|Title:||ML estimation and CRB for narrowband AR signals on a sensor array|
|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.|
|Series/Report no.:||International Conference on Acoustics Speech and Signal Processing ICASSP|
|Conference Name:||2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2014) (04 May 2014 - 09 May 2014 : Florence, Italy)|
|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|
|Appears in Collections:||Electrical and Electronic Engineering publications|
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