为了降低低密度奇偶校验码译码消息量化对其误码性能的影响,设计了一种q∶1位非均匀量化器。通过两级非线性优化降低LDPC码译码迭代消息的量化误差。优选增长率较小的q位非均匀量化参数,对小信号进行量化处理;增加一位与消息进化速度相匹配的非均匀量化参数,扩大量化器对大信号的适用范围。仿真结果表明,该非均匀量化器的误码性能优于其他传统的非均匀量化器。
In order to reduce low-density parity check code decoding messages quantitative impact on error-rate performance,aq:1bit non-uniform quantized algorithm is designed.Through two-stage nonlinear optimization,LDPC code decoding iterative quantization error is reduced.The smaller parameter is chosen as the growth rate of quantizer for the small signal,a non-uniform quantization parameter is added to match the message evolution speed,the applicable scope of the quantizer is expanded for the large signal.The simulation results show that the performance of the proposed non-uniform quantizer is superior to the other non-uniform quantizers.