Performance analysis of mis-modeled estimation procedures for a distributed source of non constant modulus

Jonathan Friedmann, Raviv Raich, Jason Goldberg, Hagit Messer

Research output: Contribution to conferencePaperpeer-review

Abstract

The problem of estimating the bearing of a single, far-field, non constant modulus source, surrounded by local scatterers using passive sensor array measurements is addressed. An associated source bearing estimation problem is formulated, and the Cramér-Rao lower bound is evaluated. Estimation procedures that assume the source is of constant modulus and therefore suffer from mis-modeling errors are investigated. Specifically, the performance of the application of the maximum likelihood (ML) estimator designed for a constant modulus source performing on a non constant modulus source is evaluated, and the exact degradation in performance is quantified as a function of the source's empirical variance.

Original languageEnglish
Pages221-224
Number of pages4
StatePublished - 2001
Event2001 IEEE Workshop on Statitical Signal Processing Proceedings - Singapore, Singapore
Duration: 6 Aug 20018 Aug 2001

Conference

Conference2001 IEEE Workshop on Statitical Signal Processing Proceedings
Country/TerritorySingapore
CitySingapore
Period6/08/018/08/01

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