Effects of Model Errors on Waveform Estimation Using the MUSIC Algorithm

Benjamin Friedlander, Anthony J. Weiss

Research output: Contribution to journalArticlepeer-review

Abstract

Sensor arrays are frequently used to separate and reconstruct superimposed signals arriving from different directions. The paper studies the effect of model errors, i.e., differences between the assumed and actual array response, on the quality of the reconstructed signals. Model errors are the limiting factor of array performance when the observation time is sufficiently long. In this paper, we analyze a signal estimation technique which is based on the MUSIC algorithm. Formulas are derived for the signal-to-interference and signal-to-noise ratios as function of the model errors. By evaluating these formulas for selected test cases we gain some insights into the sensitivity of the signal estimation problem to model uncertainty.

Original languageEnglish
Pages (from-to)147-155
Number of pages9
JournalIEEE Transactions on Signal Processing
Volume42
Issue number1
DOIs
StatePublished - Jan 1994

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