A known signal detection scheme using rank statistics in multiplicative noise

Author

Bae, Jinsoo ; Park, Seong Ill ; Chang, Taejoo ; Kim, Suk Chan ; Song, Iickho

Author_Institution

Dept. of Electr. Eng., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea

Volume

2

fYear

1997

fDate

9-12 Jun 1997

Firstpage

1105

Abstract

Multiplicative noise is known to be useful in modeling multipath propagation which is important in the analysis of mobile communication systems. In this paper, nonparametric detection of known signals in multiplicative noise is considered. The locally optimum detector is derived based on signs 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 locally suboptimum rank detector

Keywords

mobile communication; multipath channels; nonparametric statistics; probability; signal detection; approximate score functions; asymptotic performance; known signal detection scheme; locally optimum detector; mobile communication systems; multipath propagation; multiplicative noise; noise probability density function; nonparametric detection; rank statistics; weak-signal detection performance; Detectors; Fading; Marine animals; Probability; Random variables; Signal design; Signal detection; Statistical analysis; Statistics; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1997. ISCAS '97., Proceedings of 1997 IEEE International Symposium on

Print_ISBN

0-7803-3583-X

Type

conf

DOI

10.1109/ISCAS.1997.621950

Filename

621950