On Adaptive Multiband Signal Detection With Glr Algorithm

Hong Wang; Lujing Cai

doi:10.1109/7.78296

On Adaptive Multiband Signal Detection With Glr Algorithm

Hong Wang, Lujing Cai

Department of Electrical Engineering & Computer Science

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

42 Scopus citations

Abstract

This paper presents an adaptive multiband detector based on the principle of the generalized likelihood ratio test (GLR). Its detection performance is studied and compared with that of the corresponding single-band GLR detector. The adaptive multiband detector is shown to be able to significantly outperform the single-band under the chosen system constraint, when the amount of data available from a single frequency band is severely limited by the environment. Authors’ address: Dep't. of Electrical and Computer Engineering, 121 Link Hall, Syracuse University, Syracuse, NY 13244-1240.

Original language	English (US)
Pages (from-to)	225-233
Number of pages	9
Journal	IEEE Transactions on Aerospace and Electronic Systems
Volume	27
Issue number	2
DOIs	https://doi.org/10.1109/7.78296
State	Published - Mar 1991

ASJC Scopus subject areas

Aerospace Engineering
Electrical and Electronic Engineering

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abstract = "This paper presents an adaptive multiband detector based on the principle of the generalized likelihood ratio test (GLR). Its detection performance is studied and compared with that of the corresponding single-band GLR detector. The adaptive multiband detector is shown to be able to significantly outperform the single-band under the chosen system constraint, when the amount of data available from a single frequency band is severely limited by the environment. Authors{\textquoteright} address: Dep't. of Electrical and Computer Engineering, 121 Link Hall, Syracuse University, Syracuse, NY 13244-1240.",

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AB - This paper presents an adaptive multiband detector based on the principle of the generalized likelihood ratio test (GLR). Its detection performance is studied and compared with that of the corresponding single-band GLR detector. The adaptive multiband detector is shown to be able to significantly outperform the single-band under the chosen system constraint, when the amount of data available from a single frequency band is severely limited by the environment. Authors’ address: Dep't. of Electrical and Computer Engineering, 121 Link Hall, Syracuse University, Syracuse, NY 13244-1240.

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On Adaptive Multiband Signal Detection With Glr Algorithm

Abstract

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