Iterative Hard Thresholding with Memory-based Dynamic Sparse Wireless Channel Estimator

Abstract

This article focuses on estimation of dynamic sparse wireless channels. In order to ensure accurate coherent signal recovery in wireless communication systems, it is paramount for the receiver to have estimates of the channel knowledge. In this paper, channel estimator that is based on iterative hard thresholding (IHT) algorithm is proposed, while utilizing the temporal correlation associated with the dynamic sparse wireless channel. The proposed estimator is named iterative hard thresholding with Memory (IHT-wM)-based channel estimator. The estimator further employs its memory term to enhance channel estimation procedure in the system. The performance of the proposed IHT-wM-based channel estimator is compared with the performances of other previously proposed channel estimators. From the computer simulation-based results, the proposed IHT-wM-based channel estimator exhibits excellent performance when compared with the performances of other estimators, though with slightly expensive computational complexity cost in comparison with some of the other channel estimators considered in this paper.