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针对Turbo乘积码在严重跨符号干扰(ISI)信道下采用独立均衡器存在较大的性能损失,该文提出了基于Turbo乘积码的Turbo均衡系统。将译码器输出的软信息反馈到均衡器,在线性最小方差均衡算法中考虑先验信息,通过多次均衡和译码迭代得到性能改进。通过外信息转移图分析可知,Turbo均衡可以显著改善Turbo乘积码在ISI信道下的性能。针对仿真的两种信道分别可以获得1dB和2.5dB的性能提高。另外,通过合理分配均衡迭代和译码迭代可以获得更低的系统复杂度。
Aiming at the large performance loss of Turbo product code using independent equalizer under severe cross-symbol interference (ISI) channel, a turbo equalization system based on Turbo product code is proposed. The soft information output by the decoder is fed back to the equalizer, prior information is taken into account in the linear minimum variance equalization algorithm, and the performance improvement is obtained through multiple equalization and decoding iterations. Through the analysis of the external information transfer graph, Turbo Equalization can significantly improve the performance of the Turbo product code under the ISI channel. The two channels for simulation gain performance gains of 1 dB and 2.5 dB, respectively. In addition, lower system complexity can be achieved by reasonably allocating equalization iterations and decoding iterations.