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This letter proposes an iterative algorithm for sparse channel estimation for IEEE 802.22-based communication system in time-domain. The proposed algorithm initially estimates the active channel taps with the help of cross-correlation of received signal and transmitted preamble. Then an iterative algorithm comprised of adaptive thresholding and least mean square is used in time domain for sparse channel...
Wireless communication channels are highly prone to interference in addition to the presence of additive white Gaussian noise (AWGN). Stochastic gradient (SG)-based non-parametric maximum likelihood (NPML) estimator, gives better channel estimates in the presence of Gaussian mixture (AWGN plus interference) noise processes, for subsequent use by the channel equalizer. However, for sparse channels,...
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