An adaptive detection algorithm with persymmetric covariance structure

Lujing Cai, Hong Wang

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

2 Scopus citations

Abstract

By exploring the covariance structure information to reduce the uncertainty in adaptive processing, a persymmetric generalized likelihood ratio (PGLR) algorithm is presented, together with the closed-form expressions of its probabilities of detection and false alarm. The algorithm, which has a faster convergence rate and requires less computation, can significantly outperform the corresponding unstructured GLR, especially in a severely nonstationary/nonhomogeneous interference environment. It also possesses a constant false-alarm rate feature of practical importance.

Original languageEnglish (US)
Title of host publicationProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
PublisherIEEE Computer Society
Pages3545-3548
Number of pages4
ISBN (Print)078030033
StatePublished - Dec 1 1991
EventProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91 - Toronto, Ont, Can
Duration: May 14 1991May 17 1991

Publication series

NameProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume5
ISSN (Print)0736-7791

Other

OtherProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91
CityToronto, Ont, Can
Period5/14/915/17/91

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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  • Cite this

    Cai, L., & Wang, H. (1991). An adaptive detection algorithm with persymmetric covariance structure. In Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing (pp. 3545-3548). (Proceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing; Vol. 5). IEEE Computer Society.