Locally Optimum Detection of Signals in First-order Markov Environment: 1. Test Statistics 


Vol. 31,  No. 10, pp. 973-980, Oct.  2006


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  Abstract

In most of the studies on locally optimum detection assumes independent observations. The use of an independent observation model may cause a considerable performance degradation in detection applications of modern high data rate communication systems exhibiting dependence among interference components. In this paper, we address the detection of weak known signals in multiplicative and first order Markov additive noises. In Part 1, the test statistics of the locally optimum detectors are investigated in detail. In Part 2, the asymptotic and finite sample-size performance of several detectors are obtained and compared, confirming that the dependence among interference components need to be taken into account to maintain performance appropriately.

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  Cite this article

[IEEE Style]

J. Lee, J. Park, I. Song, J. Oh, H. G. Kang, S. Y. Kim, "Locally Optimum Detection of Signals in First-order Markov Environment: 1. Test Statistics," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 10, pp. 973-980, 2006. DOI: .

[ACM Style]

Jumi Lee, Juho Park, Iickho Song, Jongho Oh, Hyun Gu Kang, and Sun Yong Kim. 2006. Locally Optimum Detection of Signals in First-order Markov Environment: 1. Test Statistics. The Journal of Korean Institute of Communications and Information Sciences, 31, 10, (2006), 973-980. DOI: .

[KICS Style]

Jumi Lee, Juho Park, Iickho Song, Jongho Oh, Hyun Gu Kang, Sun Yong Kim, "Locally Optimum Detection of Signals in First-order Markov Environment: 1. Test Statistics," The Journal of Korean Institute of Communications and Information Sciences, vol. 31, no. 10, pp. 973-980, 10. 2006.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880