A Persymmetric Multiband GLR Algorithm

Lujing Cai; Hong Wang

doi:10.1109/7.256301

A Persymmetric Multiband GLR Algorithm

Lujing Cai, Hong Wang

Department of Electrical Engineering & Computer Science

Research output: Contribution to journal › Article › peer-review

124 Scopus citations

Abstract

By exploring the covariance structure information to reduce the uncertainty in adaptive processing, a persymmetric generalized likelihood ratio algorithm (PGLR) is presented, together with the closed-form expressions of probabilities of detection and false alarm. The new multiband algorithm, which requires less computation, can significantly outperform the corresponding unstructured multiband generalized likelihood ratio (GLR), especially in a severely nonstationary/nonhomogeneous interference environment. Furthermore, it is found via simulation that the constant false alarm rate (CFAR) performance of the new algorithm is as insensitive as the unstructured multiband GLR to the departure of interference distribution from Gaussian.

Original language	English (US)
Pages (from-to)	806-816
Number of pages	11
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	28
Issue number	3
DOIs	https://doi.org/10.1109/7.256301
State	Published - Jul 1992

ASJC Scopus subject areas

Aerospace Engineering
Electrical and Electronic Engineering

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title = "A Persymmetric Multiband GLR Algorithm",

abstract = "By exploring the covariance structure information to reduce the uncertainty in adaptive processing, a persymmetric generalized likelihood ratio algorithm (PGLR) is presented, together with the closed-form expressions of probabilities of detection and false alarm. The new multiband algorithm, which requires less computation, can significantly outperform the corresponding unstructured multiband generalized likelihood ratio (GLR), especially in a severely nonstationary/nonhomogeneous interference environment. Furthermore, it is found via simulation that the constant false alarm rate (CFAR) performance of the new algorithm is as insensitive as the unstructured multiband GLR to the departure of interference distribution from Gaussian.",

author = "Lujing Cai and Hong Wang",

note = "Funding Information: {\textquoteright}Ihis work was partially supported by the Rome Laboratory of AFSC under Air Force Contract mo602-88-D-0027 (A-9-1125)T. he work of L. Cai was also supported by the Syracuse University Graduate School Fellowship.",

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N2 - By exploring the covariance structure information to reduce the uncertainty in adaptive processing, a persymmetric generalized likelihood ratio algorithm (PGLR) is presented, together with the closed-form expressions of probabilities of detection and false alarm. The new multiband algorithm, which requires less computation, can significantly outperform the corresponding unstructured multiband generalized likelihood ratio (GLR), especially in a severely nonstationary/nonhomogeneous interference environment. Furthermore, it is found via simulation that the constant false alarm rate (CFAR) performance of the new algorithm is as insensitive as the unstructured multiband GLR to the departure of interference distribution from Gaussian.

AB - By exploring the covariance structure information to reduce the uncertainty in adaptive processing, a persymmetric generalized likelihood ratio algorithm (PGLR) is presented, together with the closed-form expressions of probabilities of detection and false alarm. The new multiband algorithm, which requires less computation, can significantly outperform the corresponding unstructured multiband generalized likelihood ratio (GLR), especially in a severely nonstationary/nonhomogeneous interference environment. Furthermore, it is found via simulation that the constant false alarm rate (CFAR) performance of the new algorithm is as insensitive as the unstructured multiband GLR to the departure of interference distribution from Gaussian.

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A Persymmetric Multiband GLR Algorithm

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