Signal estimation and detection in arbitrary impulsive noise environment

Author

Shen, Jun ; Nikias, Chrysostomos L.

Author_Institution

Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA

Volume

3

fYear

1995

fDate

35011

Firstpage

984

Abstract

Assuming arbitrary distribution for the additive noise at the communication receiver, we propose a new approach for the signal estimation and detection problems in the FIR channel. By applying the Bayesian law, the MAP estimator/detector are obtained. The complexity of the proposed algorithms are much lower than the Viterbi decoder. As an example, the binary signal sequence is recovered from the measurement data corrupted by a highly impulsive noise process with symmetric α-stable distribution

Keywords

Bayes methods; binary sequences; interference (signal); interference suppression; maximum likelihood detection; maximum likelihood estimation; Bayesian law; FIR channel; MAP estimator; additive noise; algorithms; arbitrary impulsive noise environment; binary signal sequence; communication receiver; signal detection; signal estimation; symmetric α-stable distribution; Bayesian methods; Density functional theory; Detectors; Estimation; Finite impulse response filter; Interference; Noise cancellation; Signal detection; Viterbi algorithm; Working environment noise;

fLanguage

English

Publisher

ieee

Conference_Titel

Military Communications Conference, 1995. MILCOM '95, Conference Record, IEEE

Conference_Location

San Diego, CA

Print_ISBN

0-7803-2489-7

Type

conf

DOI

10.1109/MILCOM.1995.483501

Filename

483501