Channel Decoding with a Bayesian Equalizer

Details Channel Decoding with a Bayesian Equalizer Channel Decoding with a Bayesian Equalizer

2010-06-04

arxiv.org/abs/1006.0795v1

Computer Science

Information Theory

5 pages, 6 figures, ISIT 2010 conference

Scientific paper

Low-density parity-check (LPDC) decoders assume the channel estate information (CSI) is known and they have the true a posteriori probability (APP) for each transmitted bit. But in most cases of interest, the CSI needs to be estimated with the help of a short training sequence and the LDPC decoder has to decode the received word using faulty APP estimates. In this paper, we study the uncertainty in the CSI estimate and how it affects the bit error rate (BER) output by the LDPC decoder. To improve these APP estimates, we propose a Bayesian equalizer that takes into consideration not only the uncertainty due to the noise in the channel, but also the uncertainty in the CSI estimate, reducing the BER after the LDPC decoder.

Affiliated with

Also associated with

No associations

Rating

Channel Decoding with a Bayesian Equalizer does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Channel Decoding with a Bayesian Equalizer, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Channel Decoding with a Bayesian Equalizer will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-722649