The complexity/performance balanced decoder for low-density parity-check （LDPC） codes is preferred in practical wireless communication systems. A low complexity LDPC decoder for the Consultative Committee for Space ...The complexity/performance balanced decoder for low-density parity-check （LDPC） codes is preferred in practical wireless communication systems. A low complexity LDPC decoder for the Consultative Committee for Space Data Systems （CCSDS） standard is achieved in DSP. An ap- proximate decoding algorithm, normalized rain-sum algorithm, is used in the implementation for its low amounts of computation. To reduce the performance loss caused by the approximation, the pa- rameters of the normalized min-sum algorithm are determined by calculating and finding the mini- mum value of thresholds through density evolution. The minimum value which indicates the best per- formance of the decoding algorithm is corresponding with the optimized parameters. In implementa- tion, the memory cost is saved by decomposing the parity-check matrix into submatrices to store and the computation of passing message in decoding is accelerated by using the intrinsic function of DSP. The performance of the decoder with optimized factors is simulated and compared with the ideal BP decoder. The result shows they have about the same performance.展开更多
为满足深空通信系统对低延时、低复杂度、高可靠性信道编译码的需求,提出一种基于国际空间数据系统咨询委员会(Consultative Committee for Space Data Systems,CCSDS)通信协议中低密度奇偶校验(low density parity check,LDPC)码的自...为满足深空通信系统对低延时、低复杂度、高可靠性信道编译码的需求,提出一种基于国际空间数据系统咨询委员会(Consultative Committee for Space Data Systems,CCSDS)通信协议中低密度奇偶校验(low density parity check,LDPC)码的自适应译码算法。该算法通过检测当前信道条件,自适应设置提前停止策略,降低译码延时;对校验矩阵做评估,自适应选择译码修正系数,提升译码性能。仿真结果表明,该算法最多能够降低平均迭代次数41%,在误码率10^(-5)的条件下提升译码性能0.2 dB。该算法几乎不增加译码处理的复杂度,且适用于多种LDPC码,具有工程实践性。展开更多
基金Supported by the National Natural Science Foundation of China (61205116)
文摘The complexity/performance balanced decoder for low-density parity-check （LDPC） codes is preferred in practical wireless communication systems. A low complexity LDPC decoder for the Consultative Committee for Space Data Systems （CCSDS） standard is achieved in DSP. An ap- proximate decoding algorithm, normalized rain-sum algorithm, is used in the implementation for its low amounts of computation. To reduce the performance loss caused by the approximation, the pa- rameters of the normalized min-sum algorithm are determined by calculating and finding the mini- mum value of thresholds through density evolution. The minimum value which indicates the best per- formance of the decoding algorithm is corresponding with the optimized parameters. In implementa- tion, the memory cost is saved by decomposing the parity-check matrix into submatrices to store and the computation of passing message in decoding is accelerated by using the intrinsic function of DSP. The performance of the decoder with optimized factors is simulated and compared with the ideal BP decoder. The result shows they have about the same performance.
文摘为满足深空通信系统对低延时、低复杂度、高可靠性信道编译码的需求,提出一种基于国际空间数据系统咨询委员会(Consultative Committee for Space Data Systems,CCSDS)通信协议中低密度奇偶校验(low density parity check,LDPC)码的自适应译码算法。该算法通过检测当前信道条件,自适应设置提前停止策略,降低译码延时;对校验矩阵做评估,自适应选择译码修正系数,提升译码性能。仿真结果表明,该算法最多能够降低平均迭代次数41%,在误码率10^(-5)的条件下提升译码性能0.2 dB。该算法几乎不增加译码处理的复杂度,且适用于多种LDPC码,具有工程实践性。
