DocumentCode
2261239
Title
The Fourier series implementation of a locally optimum detector
Author
Jacklin, William E. ; Ucci, Donald R.
Author_Institution
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
fYear
1994
fDate
2-5 Oct 1994
Firstpage
992
Abstract
Reception of signals in the presence of jammers is of paramount importance in military spread spectrum(SS) communications systems. Locally optimum (LO) detection is a method which is particularly suited to noisy environments characterised by large jammer-to-signal ratios (J/S). Interest has focused on robust techniques, in which the required nonlinearity is formed from an estimate of the noise probability density function (PDF). This paper presents a novel method of implementing a robust LO detector which does not require an intermediate estimate of the interference PDF. Instead, an algorithm based on the Fourier series is used to approximate the nonlinearity directly. Furthermore, an analytical expression for the signal-to-noise ratio (SNR) gain at the output of the detector is derived. Finally, the detection of a direct sequence (DS) SS signal in Cauchy noise is presented as an example of the performance gains provided by this method
Keywords
Fourier series; jamming; military communication; noise; probability; pseudonoise codes; signal detection; spread spectrum communication; Cauchy noise; Fourier series implementation; SNR gain; jammers; large jammer-to-signal ratios; locally optimum detector; military spread spectrum communications systems; noise probability density function; noisy environments; nonlinearity; performance gains; robust techniques; signal reception; signal-to-noise ratio; Detectors; Fourier series; Interference; Jamming; Military communication; Noise robustness; Probability density function; Signal detection; Signal to noise ratio; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Military Communications Conference, 1994. MILCOM '94. Conference Record, 1994 IEEE
Conference_Location
Fort Monmouth, NJ
Print_ISBN
0-7803-1828-5
Type
conf
DOI
10.1109/MILCOM.1994.473966
Filename
473966
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