In this paper, we investigate the weighted iterative decoding to improve the performance of turbo-polar code. First of all, a minimum weighted mean square error criterion is proposed to optimize the scaling factors(SF...
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In this paper, we investigate the weighted iterative decoding to improve the performance of turbo-polar code. First of all, a minimum weighted mean square error criterion is proposed to optimize the scaling factors(SFs). Secondly, for two typical iterative algorithms,such as soft cancellation(SCAN) and belief propagation(bp) decoding, genie-aided decoders are proposed as the ideal reference of the practical decoding. Guided by this optimization framework, the optimal SFs of SCAN or bp decoders are obtained. The bit error rate performance of turbo-polar code with the optimal SFs can achieve 0.3 dB or 0.7 dB performance gains over the standard SCAN or bp decoding respectively.
Similar to the analysis of Turbo codes, the parallel concatenated systematic polar code （PCSPC） can also be analyzed by the extrinsic information transfer （EXIT） chart. The convergence of the iterative decoding ba...
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Similar to the analysis of Turbo codes, the parallel concatenated systematic polar code （PCSPC） can also be analyzed by the extrinsic information transfer （EXIT） chart. The convergence of the iterative decoding based on soft cancellation （SCAN） and belief propagation （bp） of PCSPC are analyzed by the EXIT chart. Analysis shows that SCAN decoder is more appropriate than bp decoder for this iterative decoding structure in terms of complexity. In addition, the weight coefficients of the iterative decoding structure are optimized by the simulated-EXIT （S- EXIT） chart, which improves the performance of PCSPC.
Theoretically, the accurate signal-to-noise ratio (SNR) is necessary when using a successive cancelation (SC) or belief propagation (bp) decoder for polar codes. However, the effect of an SNR mismatch on the bit error...
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Theoretically, the accurate signal-to-noise ratio (SNR) is necessary when using a successive cancelation (SC) or belief propagation (bp) decoder for polar codes. However, the effect of an SNR mismatch on the bit error rate performance of polar codes has not been addressed yet. The sensitivity of polar decoding with SC and bp decoders to the mismatch of SNR is studied. Theoretical and simulation results show that an estimation of SNR is not necessary for polar codes from a practical point of view.
In this paper, we will present an analysis on the fault erasure bp decoders based on the density evolution. In the fault bp decoder, messages exchanged in a bp process are stochastically corrupted due to unreliable lo...
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In this paper, we will present an analysis on the fault erasure bp decoders based on the density evolution. In the fault bp decoder, messages exchanged in a bp process are stochastically corrupted due to unreliable logic gates and flip-flops;i.e., we assume circuit components with transient faults. We derived a set of the density evolution equations for the fault erasure bp processes. Our density evolution analysis reveals the asymptotic behaviors of the estimation error probability of the fault erasure bp decoders. In contrast to the fault free cases, it is observed that the error probabilities of the fault erasure bp decoder converge to positive values, and that there exists a discontinuity in an error curve corresponding to the fault bp threshold. It is also shown that an message encoding technique provides higher fault bp thresholds than those of the original decoders at the cost of increased circuit size.
The Enhanced quasi-maximum likelihood (EQML) decoder has better decoding performance than the traditional belief propagation (bp) decoder, but its decoding speed is greatly reduced due to its complicated computational...
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ISBN:
(数字)9781728147840
ISBN:
(纸本)9781728147840
The Enhanced quasi-maximum likelihood (EQML) decoder has better decoding performance than the traditional belief propagation (bp) decoder, but its decoding speed is greatly reduced due to its complicated computational structure. Therefore, an efficient graphics processing unit (GPU) implementation structure for EQML decoder of low-density parity-check (LDPC) code is proposed. Intra-codeword parallel and inter-codeword parallel decoding schemes on GPU are adopted instead of serial decoding on CPU. Several optimization methods have also been employed to enhance the decoder throughput, such as compressed storing and Kernel thread arrangement scheme, which improve the decoding speed without degrading the decoding performance of the decoder. Experiment results show that our GPU based implementation structure which is about two orders of magnitude faster than that of CPU implementation.
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