Adaptive low complexity MAP decoding for turbo equalization

Geldmacher, Jan; Hueske, Klaus; Goetze, Juergen; Bialas, Sascha

doi:10.1109/istc.2010.5613804

Cited by 6 publications

(3 citation statements)

References 10 publications

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“…Therefore the syndrome decoding approach for Turbo Codes described in this work differs from other syndrome based decoding algorithms (Schalkwijk and Vinck, 1976;Yamada et al, 1983;Tajima et al, 2002;Geldmacher et al, 2010).…”

Section: Block Syndrome Decodingmentioning

confidence: 94%

Application of syndrome based Turbo decoding with adaptive computational complexity in LTE downlink

Geldmacher

Hueske

Kosakowski³

et al. 2012

Adv. Radio Sci.

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Abstract. This paper describes the application of an adaptive complexity decoder for the Long Term Evolution (LTE) downlink Turbo code. The proposed decoding approach is based on the block syndrome decoding principle and enables adaptive reduction of decoding effort depending on current SNR and iteration number with negligible influence on decoding performance. Numerical results in context of LTE downlink using typical mobile channels are used to demonstrate the efficiency of the approach.

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Section: Block Syndrome Decodingmentioning

confidence: 94%

Application of syndrome based Turbo decoding with adaptive computational complexity in LTE downlink

Geldmacher

Hueske

Kosakowski³

et al. 2012

Adv. Radio Sci.

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“…Thus, the decoding complexity was reduced not only at higher SNRs, but also for the higher-indexed iterations. Furthermore, a syndrome-based MAP decoder was proposed in [10] for designing an adaptive low complexity decoding approach for turbo equalization.…”

Section: Introductionmentioning

confidence: 99%

“…Against this background, our novel contribution is that we have extended the application of the syndrome-based MAP decoder of [10] together with the BSD of [5] This letter is organized as follows. In Section II, the block-based syndrome decoder designed for TTCM will be presented.…”

Section: Introductionmentioning

confidence: 99%

Reduced-Complexity Syndrome-Based TTCM Decoding

Babar

Hanzo

2013

IEEE Commun. Lett.

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Abstract-The iterative decoder of Turbo Trellis Coded Modulation (TTCM) exchanges extrinsic information between the constituent TCM decoders, which imposes a high computational complexity at the receiver. Therefore we conceive the syndrome-based block decoding of TTCM, which is capable of reducing the decoding complexity by disabling the decoder, when syndrome becomes zero. Quantitatively, we demonstrate that a decoding complexity reduction of at least 17% is attained at high SNRs, with at least 20% and 45% reduction in the 5 th and 6 th iterations, respectively.Index Terms-Syndrome decoding, TTCM, error trellis, block syndrome decoding, iterative decoding.

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