Computer Science – Information Theory
Scientific paper
2011-01-25
Computer Science
Information Theory
Scientific paper
We propose a factor-graph-based approach to joint channel-estimation-and-decoding (JCED) of bit- interleaved coded orthogonal frequency division multiplexing (BICM-OFDM). In contrast to existing designs, ours is capable of exploiting not only sparsity in sampled channel taps but also clustering among the large taps, behaviors which are known to manifest at larger communication bandwidths. In order to exploit these channel-tap structures, we adopt a two-state Gaussian mixture prior in conjunction with a Markov model on the hidden state. For loopy belief propagation, we exploit a "generalized approximate message passing" (GAMP) algorithm recently developed in the context of compressed sensing, and show that it can be successfully coupled with soft-input soft-output decoding, as well as hidden Markov inference, through the standard sum-product framework. For N subcarriers and any channel length L < N, the resulting JCED-GAMP scheme has a computational complexity of only O(N log2 N + N|S|), where |S| is the constellation size. Numerical experiments using IEEE 802.15.4a channels show that our scheme yields BER performance within 1 dB of the known-channel bound and 3-4 dB better than soft equalization based on LMMSE and LASSO.
No associations
LandOfFree
A Message-Passing Receiver for BICM-OFDM over Unknown Clustered-Sparse Channels 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 A Message-Passing Receiver for BICM-OFDM over Unknown Clustered-Sparse Channels, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Message-Passing Receiver for BICM-OFDM over Unknown Clustered-Sparse Channels will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-541761