一种压缩感知信道估计中降低信道稀疏度的算法

针对基于压缩感知的稀疏多径信道估计,提出了一种利用智能天线波束赋形改造多径信道,从而改选信道稀疏度的方法。与MIMO系统压缩感知相比,在利用OMP重构算法、获得同样估计性能的前提下,需要的导频数大大减少,这样就可以节省更大的空间来传送用户数据,提高了系统的吞吐量。仿真结果也证实了本文提出方法的优越性。

A compressed sensing channel estimation algorithm in the lower channel sparseness degree

Based on compressed sensing for sparse multipath channel estimation, this paper presents using a smart antenna beam forming to transform the multipath channel. Compared with MIMO system using compressed sensing channel estimation, under the premise of using the OMP reconstruction algorithm to obtain the same estimation performance pilots number decrease greatly. so that it can save more space to send the user data, and improve the throughput of the system. Under the condition of the same signal-to-noise ratio this method also can improve the channel estimation MSE. The simulation results also proved the superiority of the proposed method.