Title :
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
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;
Conference_Titel :
Military Communications Conference, 1995. MILCOM '95, Conference Record, IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-2489-7
DOI :
10.1109/MILCOM.1995.483501
