A New Method of Improving SOVA Turbo Decoding for AWGN, Rayleigh and Rician Fading Channels
Papaharalabos, Stylianos, Sweeney, Peter and Evans, Barry G (2004) A New Method of Improving SOVA Turbo Decoding for AWGN, Rayleigh and Rician Fading Channels Proceedings of 59TH IEEE Vehicular Technology Conference, 5. pp. 2862-2866.
SRF002094.pdf - Version of Record
e iterative soft output Viterbi algorithm (SOVA) is a sub-optimum algorithm when it is used to decode turbo codes. By normalizing its extrinsic information we get a performance improvement compared to the standard SOVA. In particular, if the extrinsic information is increased in the last decoding iteration, an additional coding gain improvement is noticed. For example, this is 0.25 dB for a frame length of 1000 bits in the additive white Gaussian noise (AWGN) channel as well as in an uncorrelated Rician fading channel at bit error rate (BER) of IO". Also, this normalized SOVA is only about 0.25 dB worse than a turbo decoder using the Log-MAP algorithm, both in the AWGN channel and in an uncorrelated Rayleigh fading channel at BER of around Furthermore with an 8-state component code, a frame length of 500 hits performs 0.125 dB better than a 16-state Bidirectional (Si)-SOVA turbo decoder at BER of IO-' in the AWGN channel.
|Divisions :||Faculty of Engineering and Physical Sciences > Electronic Engineering > Advanced Technology Institute > Photonics|
|Identification Number :||https://doi.org/10.1109/VETECS.2004.1391447|
|Related URLs :|
|Additional Information :||©2004 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Depositing User :||Melanie Hughes|
|Date Deposited :||16 Sep 2010 10:06|
|Last Modified :||23 Sep 2013 18:36|
Actions (login required)
Downloads per month over past year