Locally optimum detector for correlated random signals in a weakly dependent noise model

Kwang Soon Kim; Sun Yong Kim; Iickho Song; So Ryoung Park

doi:10.1016/S0165-1684(98)00219-9

Locally optimum detector for correlated random signals in a weakly dependent noise model

Kwang Soon Kim, Sun Yong Kim, Iickho Song, So Ryoung Park

Department of Electrical and Electronic Engineering

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

8 Citations (Scopus)

Abstract

In this paper, we consider a discrete-time random signal detection problem under the presence of additive noise exhibiting weak dependence. We derive the test statistic of the locally optimum detector under a weakly dependent noise model. The performance characteristic of the locally optimum detector is analyzed and compared with that of the square-law detector in term of asymptotic relative efficiency.

Original language	English
Pages (from-to)	317-322
Number of pages	6
Journal	Signal Processing
Volume	74
Issue number	3
DOIs	https://doi.org/10.1016/S0165-1684(98)00219-9
Publication status	Published - 1999 May

Bibliographical note

Funding Information:
This research was supported by a 1997 grant from the Hallym Academy of Science, Hallyn University, for which the authors would like to express their thanks.

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Software
Signal Processing
Computer Vision and Pattern Recognition
Electrical and Electronic Engineering

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10.1016/S0165-1684(98)00219-9

Cite this

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abstract = "In this paper, we consider a discrete-time random signal detection problem under the presence of additive noise exhibiting weak dependence. We derive the test statistic of the locally optimum detector under a weakly dependent noise model. The performance characteristic of the locally optimum detector is analyzed and compared with that of the square-law detector in term of asymptotic relative efficiency.",

author = "Kim, {Kwang Soon} and Kim, {Sun Yong} and Iickho Song and Park, {So Ryoung}",

note = "Funding Information: This research was supported by a 1997 grant from the Hallym Academy of Science, Hallyn University, for which the authors would like to express their thanks. ",

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AU - Kim, Kwang Soon

AU - Kim, Sun Yong

AU - Song, Iickho

AU - Park, So Ryoung

N1 - Funding Information: This research was supported by a 1997 grant from the Hallym Academy of Science, Hallyn University, for which the authors would like to express their thanks.

PY - 1999/5

Y1 - 1999/5

N2 - In this paper, we consider a discrete-time random signal detection problem under the presence of additive noise exhibiting weak dependence. We derive the test statistic of the locally optimum detector under a weakly dependent noise model. The performance characteristic of the locally optimum detector is analyzed and compared with that of the square-law detector in term of asymptotic relative efficiency.

AB - In this paper, we consider a discrete-time random signal detection problem under the presence of additive noise exhibiting weak dependence. We derive the test statistic of the locally optimum detector under a weakly dependent noise model. The performance characteristic of the locally optimum detector is analyzed and compared with that of the square-law detector in term of asymptotic relative efficiency.

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JO - Signal Processing

JF - Signal Processing

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ER -

Locally optimum detector for correlated random signals in a weakly dependent noise model

Abstract

Bibliographical note

All Science Journal Classification (ASJC) codes

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