Sparse channel estimation via matching pursuit with application to equalization
Sparse channel estimation via matching pursuit with application to equalization
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DOI：
10.1109/26.990897
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发表时间：
2002-03-01
影响因子：
8.3
通讯作者：
Rao, BD
中科院分区：
文献类型：
--
作者：
Cotter, SF;Rao, BD
具有稀疏脉冲响应的信道出现在许多通信应用中。利用信道的稀疏性，我们展示了如何使用匹配追踪(NW)算法来获得对信道的估计。将该估计与最小二乘(LS)信道估计的阈值变体进行比较。在这些稀疏的信道估计中，NIP估计在计算上实现起来要简单得多，并且需要较短的训练序列来形成准确的信道估计，从而导致更大的信息吞吐量。
Channels with a sparse impulse response arise in a number of communication applications. Exploiting the sparsity of the channel, we show how an estimate of the channel may be obtained using a matching pursuit (NW) algorithm. This estimate is compared to thresholded variants of the least squares (LS) channel estimate. Among these sparse channel estimates, the NIP estimate is computationally much simpler to implement and a shorter training sequence Is required to form an accurate channel estimate leading Q) to greater information throughput.