论文部分内容阅读
针对短波信道数据引导均衡算法(data-directed equalization algorithm,DDEA)存在的问题,即必须以一帧数据内信道恒定为前提假设,且在均衡器和译码器之间只能传递硬判决信息,提出两种改进的DDEA均衡算法,分别从不同角度对此加以解决。所提可变信道系数的DDEA算法无须假设一帧数据内信道系数恒定,而允许在每个采样间隔信道系数都是变化的。所提DDEA-Turbo均衡算法能通过在信道估计器、均衡器和译码器之间传递软判决信息,将均衡器和译码器联合起来进行迭代。仿真结果表明,两种改进算法相较于传统的DDEA算法在性能方面都有不同程度的提高,但有分析显示,这种性能的提高须以增加复杂度为代价。
Aiming at the problem existing in data-directed equalization algorithm (HFEA) of HF channel, it is necessary to assume the assumption of channel constant in one frame of data, and only hard decision information can be transmitted between equalizer and decoder, Two improved DDEA equalization algorithms are proposed, which are solved from different perspectives. The proposed DDEA algorithm for variable channel coefficients does not need to assume that the channel coefficients in one frame of data are constant, while allowing the channel coefficients to vary for each sample interval. The proposed DDEA-Turbo equalization algorithm can unite equalizers and decoders by iteratively passing soft-decision information between channel estimators, equalizers and decoders. Simulation results show that compared with the traditional DDEA algorithm, the two improved algorithms have different degrees of performance improvement, but some analysis shows that this performance improvement must be at the expense of increasing complexity.