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Channels with a sparse impulse response arise in a variety of wireless communication applications, such as high definition television (HDTV) terrestrial transmission and underwater acoustic communications. By exploiting the sparsity of the channel, this paper proposes a fast algorithm for sparse channel estimation based on a greedy algorithm called orthogonal matching pursuit (OMP). The proposed fast...
Channels with a long but sparse impulse response arise in a variety of wireless communication applications, such as high definition television (HDTV) terrestrial transmission and underwater acoustic communications. By adopting the $\ell_1$-norm as the sparsity metric of the channel response, the channel estimation is formulated as a complex-valued convex optimization problem. A fast fixed point iteration...
Least-squares (LS) method is widely used for multipath channel estimation. The conventional algorithms for computing the LS solution involve matrix inversion, which is computationally demanding. In this paper, by exploiting the special structure of Toeplitz matrices, a fast and memory-saving numerical algorithm is developed for calculating the LS estimate of a multipath channel. The proposed fast...
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