Study on Sparse Channel Estimation Algorithm Based on Compressive Sensing for OFDM Systems

摘要：

A new method of orthogonal frequency division multiplexing (OFDM) sparse channel estimation based on compressive sensing (CS) is proposed by exploiting the sparsity property of channel impulse response. One of the CS algorithms, Signal Adaptive Matching Pursuit is used to estimate the channel impulse response of OFDM system. Through compressive sensing process estimation signal can be directly get, which not need secondly estimate. Simulation results demonstrate the validity of the algorithm. In the channel of unknown sparse degrees, the algorithm can get good channel estimation performance, and reduce the complexity of the system.

关键词： Channel estimatio sparse channe Orthogonal Frequency Division Multiplexing Signal Adaptive Matching Pursuit (SAMP)

作者: Shi Hui Song Renwang Wang Gangfei

作者单位: College of Electronic Information and Engineering , Taiyuan University of Science and Technology,Taiyuan, China

会议类型: 国际会议

会议名称: 2011 IEEE 3rd International Conference on Communication Software and Networks(2011第三届通信软件与网络国际会议 ICCSN2011)

会议地点: 西安

会议语种:英文

页码: 893-896

在线出版日期: 2011-05-27（万方平台首次上网日期，不代表论文的发表时间）