Title :
Estimation/detection in impulsive noise/multiuser interference environment
Author :
Shen, Jun ; Nikias, Clhrysostomos L.
Author_Institution :
Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA
fDate :
Oct. 30 1995-Nov. 1 1995
Abstract :
For arbitrary distribution of the additive interference at the communication receiver, we propose a new approach for the signal estimation/detection problems in the FIR channel. By applying the Bayesian law, the MAP estimator/detector are obtained. The complexity of the proposed algorithms are 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 /spl alpha/-stable distribution.
Keywords :
Bayes methods; FIR filters; binary sequences; estimation theory; interference (signal); maximum likelihood detection; maximum likelihood estimation; receivers; telecommunication channels; Bayesian law; FIR channel; MAP detector; MAP estimator; Viterbi decoder; additive interference distribution; algorithms complexity; binary signal sequence; communication receiver; impulsive noise environment; measurement data; multiuser interference environment; signal detection; signal estimation; symmetric /spl alpha/-stable distribution; Decoding; Density functional theory; Detectors; Finite impulse response filter; Interference; Noise cancellation; Signal detection; Signal processing; Viterbi algorithm; Working environment noise;
Conference_Titel :
Signals, Systems and Computers, 1995. 1995 Conference Record of the Twenty-Ninth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7370-2
DOI :
10.1109/ACSSC.1995.540507
