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Data conflict resolution for layered LDPC decoding algorithm by selective recalculation

机译:通过选择性重新计算来解决分层LDPC解码算法的数据冲突

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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解码算法可实现LDPC解码器的高误码率(BER)性能和高吞吐量。但是,对于ISDB-S2(第二代卫星综合业务数字广播)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不正确计算的值,并相应地进行校正。通过应用这种选择性的重新计算方法,分层算法可以实现无冲突的BER性能。仿真结果表明,与以前解决数据冲突问题的策略相比,在相同的BER性能下,该方法在ISDB-S2中冲突最多的代码上可获得0.1dB的增益。

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