简化因子图均衡的参数估计算法

A parameter estimation algorithm for simplifying factor graph equalizers

为了有效解决符号间干扰对通信系统的影响,研究了系统接收端的信号均衡,尤其是基于因子图的迭代均衡。考虑到基于因子图的迭代均衡算法的复杂度较高,而且信道的冲击响应是未知的,需要对因子图模型的参数进行估计,基于置信度传播算法提出了一种简化因子图均衡的参数自适应估计算法。仿真结果表明,该参数估计算法能够有效降低因子图均衡算法的复杂度,在典型线性失真的复杂多径信道下,简化因子图均衡算法的性能与传统的因子图迭代均衡性能相当。

To effectively eliminate the influence of inter symbol interference on communication systems, the signal equali- zation at the receiving terminal, especially the factor graph based iterative equalization technique, was studied. In view of the fact that the complexity of the iterative equalization algorithm based on factor graph is very high, and the shock response of a muhipath channel is unknown, so the factor graph parameters need to be estimated, an adap- tive parameter estimation algorithm for simplifying factor graph equalizers was proposed based on the belief propaga- tion algorithm. The simulation results show that the proposed parameter estimation algorithm can effectively reduce the complexity of the factor graph equalization algorithm, and under typical linear distortion complex multipath channels, the performance of the simplified factor graph equalization algorithm is equivalent to the traditional factor graph based iterative equalization algorithm.