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Locally Optimum Detection of Signals in First-Order Markov Environment: 2. Performance Analysis  

Lee, Ju-Mi (한국과학기술원 전자전산학과)
Park, Ju-Ho (한국과학기술원 전자전산학과)
Song, Iick-Ho (한국과학기술원 전자전산학과)
Oh, Jong-Ho (한국과학기술원 전자전산학과)
Kang, Hyun-Gu (한국과학기술원 전자전산학과)
Kim, Sun-Yong (건국대학교 전자공학부)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.32, no.2C, 2007 , pp. 150-159 More about this Journal
Abstract
In Part 1 of this paper, the test statistics are obtained for detecting weak known signals in observations corrupted by multiplicative and first-order Markov additive noise. In this second part, the asymptotic and finite sample-size performance of several detectors are obtained and compared based on the test statistics. From the performance comparisons, it is confirmed that the dependence among interference components need to be taken into account to maintain the detection performance.
Keywords
locally optimum detector; signal detection; weak signal; dependent sample; Markov;
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Times Cited By KSCI : 1  (Citation Analysis)
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