Copy correlation direction-of-arrival estimation performance

Christ D. Richmond, Keith W. Forsythe, Christopher R. Flynn

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

The mean squared error performance of a copy weight correlation (CC) based method of angle estimation proposed by Forsythe and Richmond is studied via application of the method of interval error (MIE). It is demonstrated that at low SNRs the CC method leans heavily on the a priori information embedded in the copy weight, but at high SNRs reverts to the Capon algorithm estimate. This prior information can be quite advantageous when accurate (e.g. it can mitigate the threshold effect altogether), but possibly detrimental if either inaccurate or difficult to match (e.g. due to poorly known array calibration). It is shown here that the error probabilities used in MIE capture the threshold effects induced by mismatch, and correctly predict MSE performance over a wide range of scenarios.

Original languageEnglish (US)
Title of host publication2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
Pages273-276
Number of pages4
DOIs
StatePublished - 2012
Externally publishedYes
Event2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012 - Hoboken, NJ, United States
Duration: Jun 17 2012Jun 20 2012

Publication series

NameProceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
ISSN (Electronic)2151-870X

Other

Other2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
Country/TerritoryUnited States
CityHoboken, NJ
Period6/17/126/20/12

Keywords

  • Bayesian
  • Blind
  • DOA estimation
  • beamformer
  • copy weight
  • mismatch
  • signal copy
  • threshold effect

ASJC Scopus subject areas

  • Signal Processing
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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