Design Of SC-FDE System Iterative Receiver Based On Low Complexity Sparse Channel Estimation

In wireless communication systems,there are many real channel channel coefficients that are sparse in transmission.Using sparsity,this feature can effectively reduce the complexity of communication calculations.This paper mainly constructs the SC-FDE system model based on the factor graph message transfer algorithm,and proposes a low-complexity sparse channel estimation algorithm for channel coefficients.The basis of the improved algorithm is based on the factor graph message transfer algorithm.By analyzing the different nodes of the communication system,an iterative receiver is constructed by selecting the appropriate message update rule,and then the factor graph calculation is reduced through the reduction of the fully connected nodes of the factor graph.the complexity.The main content of the article is as follows:1.Completed the SC-FDE system formal model design based on factor graph message passing rules;2.Based on formal receivers based on factor graph message passing rules,a low complexity sparse channel improved algorithm based on parameter retention is proposed.3.For the problem that the empirical threshold of improved low-complexity sparse channel based on parameter retention is not easy to be determined,the decision rules of sparse factor and quality factor are introduced,and a low-complexity improved algorithm based on the decomposed base reservation is proposed.The simulation analysis results in the parameter retention and The decomposing base persistence algorithm can all reduce the fully connected factor graph nodes.