DocumentCode
2515906
Title
Bayesian blind deconvolution for mobile communications
Author
Clapp, Tim ; Godsill, Simon
Author_Institution
Dept. of Eng., Cambridge Univ., UK
fYear
1997
fDate
35732
Firstpage
42614
Lastpage
42619
Abstract
This paper discusses the problem of restoring a digital input signal which has been degraded by an unknown FIR filter in additive Gaussian noise. A Bayesian approach is taken to recover the signal, implemented by the Gibbs sampler, a Markov chain Monte Carlo method. A method for drawing a random sample of a sequence of bits is presented. This is shown to have a faster convergence and better performance than a scheme by Chen and Li (see IEEE Transactions on Signal Processing, vol.43, no.10, p.2410-13, 1995) which draws bits independently
Keywords
Bayes methods; Bayesian blind deconvolution; FIR filter; Gibbs sampler; Markov chain Monte Carlo method; additive Gaussian noise; bit sequence; blind equaliser; convergence; digital input signal restoration; mobile communications; performance; random sample; signal recovery;
fLanguage
English
Publisher
iet
Conference_Titel
Adaptive Signal Processing for Mobile Communication Systems (Ref. No. 1997/383), IEE Colloquium on
Conference_Location
London
Type
conf
DOI
10.1049/ic:19971315
Filename
668635
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