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Subspace-based blind channel estimation for cyclic prefixed MIMO-OFDM systems using few receivedblocks

机译:使用很少的接收块的循环前缀MIMO-OFDM系统的基于子空间的盲信道估计

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In this paper, two subspace (SS) based blind channel estimation methods for cyclic prefixing (CP) based multi-input and multi-output (MIMO) OFDM systems are proposed. The first one generalized a previously reported single-input and single-output (SISO) based method into the MIMO case. The second one is an extension to the first one by smartly introducing additional columns per received block in the channel matrix equation. These two SS methods require few received blocks to satisfy the persistency of excitation (POE) criterion and do not require the number of receive antennas to be greater than that of transmit antennas. Simulation results demonstrate the capability of the proposed methods to perform blind channel estimation using few received blocks. Compared to multiple existing SS methods, significant performance improvements of the proposed methods are observed given the same amount of available received data
机译:本文针对基于循环前缀(CP)的多输入和多输出(MIMO)OFDM系统,提出了两种基于子空间(SS)的盲信道估计方法。第一个将以前报道的基于单输入单输出(SISO)的方法推广到MIMO案例中。第二个是第一个扩展,通过在信道矩阵方程中为每个接收到的块智能地引入额外的列。这两种SS方法需要很少的接收块来满足激励持久性(POE)准则,并且不需要接收天线的数量大于发射天线的数量。仿真结果证明了所提出的方法使用很少的接收块来执行盲信道估计的能力。与多种现有SS方法相比,在相同数量的可用接收数据下,可以观察到所提出方法的显着性能改进

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