Maximum Likelihood Signal Estimation for Polarization Sensitive Arrays

Anthony J. Weiss, Benjamin Friedlander

Research output: Contribution to journalArticlepeer-review

36 Scopus citations

Abstract

We consider the problem of separating and estimating the waveforms of superimposed signals received by a polarization-sensitive array. Signal estimation is accomplished by a two-step maximum likelihood procedure: (i) The directions of arrival and polarization parameters of all the signals are estimated, (ii) The estimated signal is obtained as a linear combination of the array outputs, with weights which are computed from the estimated direction/polarization parameters. The objective of this paper is to analyze the quality of the estimated signal in terms of the output signal-to-interference ratio (SIR) and output signal-to-noise ratio (SNR). Closed-form expressions are derived for the output SIR and SNR of a general diversely polarized array. By evaluating these expressions for selected test cases it is shown that polarization-sensitive arrays can provide significantly higher output SIR and SNR than uniformly polarized arrays. The performance improvement is especially significant for closely spaced sources with sufficiently different polarization characteristics.

Original languageEnglish
Pages (from-to)918-925
Number of pages8
JournalIEEE Transactions on Antennas and Propagation
Volume41
Issue number7
DOIs
StatePublished - Jul 1993

Funding

FundersFunder number
U.S. Army Communications
Army Research OfficeDAAL03-91-C-0022

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