摘要
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。
Based on compressed sensing sparse multipath channel estimation, a smart antenna beam forming is presented using the transformation of multipath channel and thus transform the channel sparsely approach. Compared with MIMO system compressed sensing, in the use of OMP reconstruction algorithm to obtain the same estimation performance ,the number of required pilot is greatly reduced. So that it can save more space to transfer user data to improve the system throughput. The simulation results also confirm that the proposed method is superior.
出处
《电视技术》
北大核心
2014年第15期144-146,151,共4页
Video Engineering
基金
国家科技重大专项基金(2013ZX03003014-004)
关键词
压缩感知
信道估计
波束赋形
导频数
compressed sensing
channel estimation
beam forming
pilots number
