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Approximate best linear unbiased channel estimation with CFAR detection for frequency selective sparse multipath channels with long delay spreads

机译:具有长时延扩展的频率选择性稀疏多径信道的CFAR检测的近似最佳线性无偏信道估计

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We provide a non-iterative channel impulse response (CIR) estimation algorithm for communication systems which utilize a periodically transmitted training sequence within a continuous stream of information symbols. The non-iterative channel estimate is an approximation to the Best Linear Unbiased Estimate (BLUE) of the CIR, achieving almost similar performance, with much lower complexity. We first provide a formulation of the received data and correlation processing with the adjacent symbol correlation taken into account, and we then present the connections of the correlation based CIR estimation scheme to the ordinary least squares CIR estimation, and the approximate BLUE CIR estimation. Simulation results are provided to demonstrate the performance of the novel algorithms for 8-VSB ATSC Digital TV system.
机译:我们为通信系统提供了一种非迭代的信道冲激响应(CIR)估计算法,该算法利用连续的信息符号流中的周期性发送的训练序列。非迭代信道估计是CIR的最佳线性无偏估计(BLUE)的近似值,可实现几乎类似的性能,并且复杂度要低得多。我们首先提供考虑到相邻符号相关性的接收数据的表述和相关性处理,然后介绍基于相关性的CIR估计方案与普通最小二乘CIR估计以及近似BLUE CIR估计的联系。仿真结果提供了用于8-VSB ATSC数字电视系统的新颖算法的性能。

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