基于压缩感知的NC-OFDM系统的BAOMP算法的信道估计

Compressing sensing based BAOMP algorithm channel estimation in NC-OFDM system

采用基于信号处理领域最近兴起的压缩感知理论对NC-OFDM系统进行信道估计,并将回溯迭代自适应正交匹配追踪算法(BAOMP)应用到NC-OFDM系统的信道估计中,该算法在每次回溯迭代中核查所选原子的可靠性并删除不可靠原子。理论分析和仿真实验表明,BAOMP算法不但可以减少导频的数目,而且其在保持OMP类算法优点的同时,有着更好的重构性能,且不需要预先知道稀疏度K。

This paper is based on the lately rising compressing sensing theory , studying channel estimation for NC-OFDM sys-tem and using BAOMP algorithm to NC-OFDM system ’ s channel estimation . It detects the previous chosen atoms ’ reliability and then deletes the unreliable atoms at each backtracking iteration . Simulation and theoretical analysis shows that BAOMP algorithm can reduce the pilots number . Besides , BAOMP not only has the advantages of the OMP-type but also has superior performance of signal construction . Besides , it doesn ’ t need to know the sparsity level K .