Copy correlation direction-of-arrival estimation performance with a stochastic weight vector

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

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

1 Scopus citations

Abstract

Copy-aided direction finding of co-channel signals with known structure is an effective method of angle estimation applicable to any blind or non-blind frontend signal processing. The frontend processing yields for each emitter a copy weight vector that can be correlated with an angle dependent hypothesized adaptive beamformer to extract direction-of-arrival (DOA). The mean squared error (MSE) performance of this method is extended to include the stochastic nature of the copy weight vectors. Prediction of the DOA MSE performance of copy weights derived from a well-known beamforming algorithm is explored as an application of the results.

Original languageEnglish (US)
Title of host publicationConference Record of the 47th Asilomar Conference on Signals, Systems and Computers
PublisherIEEE Computer Society
Pages2155-2159
Number of pages5
ISBN (Print)9781479923908
DOIs
StatePublished - Jan 1 2013
Externally publishedYes
Event2013 47th Asilomar Conference on Signals, Systems and Computers - Pacific Grove, CA, United States
Duration: Nov 3 2013Nov 6 2013

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other2013 47th Asilomar Conference on Signals, Systems and Computers
Country/TerritoryUnited States
CityPacific Grove, CA
Period11/3/1311/6/13

Keywords

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

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Copy correlation direction-of-arrival estimation performance with a stochastic weight vector'. Together they form a unique fingerprint.

Cite this