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We present a computationally efficient blind sequential detection method for data transmitted over a sparse intersymbol interference channel. Unlike blind sequential detection methods designed for general channels, the proposed method exploits the channel sparsity by using estimated channel sparsity to assist in the detection of the transmitted sequence. A Gaussian mixture model is used to describe...
In this paper, we propose a tree-search based approach to detecting symbols transmitted over a sparse intersymbol interference channel. The proposed method uses a novel multiple-tree structure that exploits the channel sparsity to reduce computational complexity. By using parallel tree searches to perform data detection, the algorithm avoids the redundant likelihood computations introduced by inactive...
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