Computer Science – Information Theory
Scientific paper
2005-04-06
Computer Science
Information Theory
5 pages, 7 figures, submitted to 2005 IEEE International Symposium on Information Theory
Scientific paper
In this paper we propose a new soft-input soft-output equalization algorithm, offering very good performance/complexity tradeoffs. It follows the structure of the BCJR algorithm, but dynamically constructs a simplified trellis during the forward recursion. In each trellis section, only the M states with the strongest forward metric are preserved, similar to the M-BCJR algorithm. Unlike the M-BCJR, however, the remaining states are not deleted, but rather merged into the surviving states. The new algorithm compares favorably with the reduced-state BCJR algorithm, offering better performance and more flexibility, particularly for systems with higher order modulations.
Costello Daniel J. Jr.
Sikora Marcin
No associations
LandOfFree
A new SISO algorithm with application to turbo equalization 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 new SISO algorithm with application to turbo equalization, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A new SISO algorithm with application to turbo equalization will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-37899