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Wideband wireless channel is a time dispersive channel and becomes stronglyfrequency-selective. However, in most cases, the channel is composed of a fewdominant taps and a large part of taps is approximately zero or zero. Toexploit the sparsity of multi-path channel (MPC), two methods have beenproposed. They are, namely, greedy algorithm and convex program. Greedyalgorithm is easy to be implemented but not stable; on the other hand, theconvex program method is stable but difficult to be implemented as practicalchannel estimation problems. In this paper, we introduce a novel channelestimation strategy using compressive sampling matching pursuit (CoSaMP)algorithm which was proposed in [1]. This algorithm will combine the greedyalgorithm with the convex program method. The effectiveness of the proposedalgorithm will be confirmed through comparisons with the existing methods.

Sparse Multipath Channel Estimation Using Compressive Sampling Matching Pursuit Algorithm