On BICM receivers for TCM transmission

Computer Science – Information Theory

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Submitted to the IEEE Transactions on Communications

Scientific paper

Recent results have shown that the performance of bit-interleaved coded modulation (BICM) using convolutional codes in nonfading channels can be significantly improved when the interleaver takes a trivial form (BICM-T), i.e., when it does not interleave the bits at all. In this paper, we give a formal explanation for these results and show that BICM-T is in fact the combination of a TCM transmitter and a BICM receiver. To predict the performance of BICM-T, a new type of distance spectrum for convolutional codes is introduced, analytical bounds based on this spectrum are developed, and asymptotic approximations are also presented. It is shown that the minimum distance of the code is not the relevant optimization criterion for BICM-T. Optimal convolutional codes for different constrain lengths are tabulated and asymptotic gains of about 2 dB are obtained. These gains are found to be the same as those obtained by Ungerboeck's one-dimensional trellis coded modulation (1D-TCM), and therefore, in nonfading channels, BICM-T is shown to be asymptotically as good as 1D-TCM.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

On BICM receivers for TCM transmission 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 On BICM receivers for TCM transmission, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and On BICM receivers for TCM transmission will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-178435

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.