Sparsity-constraint LMS Algorithms for Time-Varying UWB Channel Estimation

Solomon Nunoo ； Uche A. K. Chude-okonkwo ； Razali Ngah

《Research Journal of Applied Sciences, Engineering and Technology》 8卷24期 (2014/12) Pp. 2408-2415

並列摘要

Sparsity constraint channel estimation using compressive sensing approach has gained widespread interest in recent times. Mostly, the approach utilizes either the l_1-norm or l_0-norm relaxation to improve the performance of LMS-type algorithms. In this study, we present the adaptive channel estimation of time-varying ultra wideband channels, which have shown to be sparse, in an indoor environment using sparsity-constraint LMS and NLMS algorithms for different sparsity measures. For a less sparse CIR, higher weightings are allocated to the sparse penalty term. Simulation results show improved performance of the sparsity-constraint algorithms in terms of convergence speed and mean square error performance.

並列關鍵字

Compressive sensing ； (N) LMS algorithms ； sparse channel estimation ； time-varying channels ； ultra wideband