基于压缩感知的OFDM宽带短波信道估计方法研究

Study on Wideband HF Channel Estimation Algorithm Based on Compressive Sensing in OFDM

为了提高OFDM宽带短波信道估计的精确性,针对短波信道固有的低稀疏性,在将压缩感知理论应用于OFDM宽带短波信道估计的基础上进行OFDM短波信道的稀疏建模,接着提出需要解决的问题,进而提出采用正交匹配追踪(OMP)算法进行短波信道的重构。通过仿真实验证实,与传统信道估计算法中的最小二乘(LS)算法比较,可以达到在使用更少导频的情况下提供更好的短波信道估计性能的效果,从而提高短波系统的频带利用率。

In order to improve the accuracy of channel estimation in orthogonal frequency division multiplexing（ OFDM ）wideband HF system,considering the low sparsity of HF channel,this paper performs sparse modeling for orthogonal frequency division multiple- xing（OFDM） HF channel based on using compressive sensing（CS） theory in OFDM wideband HF channel estimation, and identifies the problems to be solved.The method is presented ,which uses orthogonal matching pursuit（ OMP ）algorithm for HF channel reconstruction. The simulation results show that this algorithm can provide better HF channel estimation performance by using fewer pilots to improve the bandwidth utilization of the HF system,compared with least squares（LS） algorithm.