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Data conflict resolution for layered LDPC decoding algorithm by selective recalculation

机译:通过选择重新计算的分层LDPC解码算法的数据冲突分辨率

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Layered LDPC decoding algorithm is known to achieve high Bit Error Rate (BER) performance and high throughput for LDPC decoders. However, for ISDB-S2 (Integrated Services Digital Broadcasting via Satellite — Second Generation) LDPC decoder, applying layered algorithm directly will result in data conflict problem. In this paper, a novel selective recalculation method is proposed to solve the data conflict problem. It determines the inaccurately calculated values based on a recalculation decision rule, and correct them accordingly. By applying this selective recalculation method, the layered algorithm can achieve conflict free BER performance. Simulation results demonstrate that the proposed method can achieve 0.1dB gain for the code with most conflicts in ISDB-S2, under the same BER performance compared to the previous strategy to solve data conflict problem.
机译:已知分层LDPC解码算法实现了LDPC解码器的高位错误率(BER)性能和高吞吐量。但是,对于ISDB-S2(通过卫星 - 第二代的集成服务数字广播)LDPC解码器,直接应用分层算法将导致数据冲突问题。本文提出了一种新颖的选择性重新计算方法来解决数据冲突问题。它根据重新计算决策规则确定了不准确的计算值,并相应地纠正它们。通过应用这种选择重新计算方法,分层算法可以实现自由冲突。仿真结果表明,与以前的策略相同的策略来解决数据冲突问题,所提出的方法可以为ISDB-S2中大多数冲突实现0.1dB的收益。

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