Nonparametric detection of known signals based on ranks in multiplicative noise

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Multiplicative noise is known to be useful in modeling multipath propagation which is important in mobile communication systems. In this paper, nonparametric detection of known signals in multiplicative noise is considered. The locally optimum detector is derived based on si,sns and ranks of observations for good weak-signal detection performance under any specified noise probability density function. This detector has similarities to the locally optimum detector for known signals in multiplicative noise. The asymptotic performance of this nonparametric detector is as good as that of the locally optimum detector, With approximate score functions, we can construct the approximate locally optimum rank detector. (C) 1997 Published by Elsevier Science B.V.
Publisher
ELSEVIER SCIENCE BV
Issue Date
1997-07
Language
English
Article Type
Article
Citation

SIGNAL PROCESSING, v.60, no.2, pp.255 - 261

ISSN
0165-1684
DOI
10.1016/S0165-1684(97)00120-5
URI
http://hdl.handle.net/10203/5509
Appears in Collection
EE-Journal Papers(저널논문)
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