Efficient approaches to improving performance of VLSI SOVA-based Turbo decoders

Zhongfeng Wang, Hiroshi Suzuki, Keshab K Parhi

Research output: Contribution to journalConference articlepeer-review

6 Scopus citations

Abstract

In this paper, we propose two VLSI applicable approaches to improving performance of soft-output Viterbi algorithm (SOVA)-based Turbo decoders. In the first approach, a pseudo-median filter is employed to modify the soft outputs of each SOVA-based constituent decoder. Compared with conventional SOVA-based Turbo decoders, an extra coding gain of 0.2 dB can be achieved for a wide range of target bit-error-rate (BER). In the second approach, an easily obtainable variable and a simple mapping function are used to avoid the complex computation of the scaling factor for extrinsic information in SOVA-based Turbo decoders. An extra coding gain of 0.3 to 0.5 dB can be obtained in general. This approach does not require signal-to-noise ratio (SNR) related information while the original method does. The hardware overhead and the extra latency for both approaches are negligible.

Original languageEnglish (US)
JournalProceedings - IEEE International Symposium on Circuits and Systems
Volume1
StatePublished - Jan 1 2000
EventProceedings of the IEEE 2000 Internaitonal Symposium on Circuits and Systems - Geneva, Switz
Duration: May 28 2000May 31 2000

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