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International Journal of Antennas and Propagation
Volume 2014 (2014), Article ID 434659, 8 pages
http://dx.doi.org/10.1155/2014/434659
Research Article

Sparse Adaptive Channel Estimation Based on -Norm-Penalized Affine Projection Algorithm

1College of Information and Communications Engineering, Harbin Engineering University, Harbin 150001, China
2College of Electromechanical Engineering, Northeast Forestry University, Harbin 150040, China

Received 25 March 2014; Revised 10 June 2014; Accepted 25 June 2014; Published 6 July 2014

Academic Editor: Dau-Chyrh Chang

Copyright © 2014 Yingsong Li et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

We propose an -norm-penalized affine projection algorithm (LP-APA) for broadband multipath adaptive channel estimations. The proposed LP-APA is realized by incorporating an -norm into the cost function of the conventional affine projection algorithm (APA) to exploit the sparsity property of the broadband wireless multipath channel, by which the convergence speed and steady-state performance of the APA are significantly improved. The implementation of the LP-APA is equivalent to adding a zero attractor to its iterations. The simulation results, which are obtained from a sparse channel estimation, demonstrate that the proposed LP-APA can efficiently improve channel estimation performance in terms of both the convergence speed and steady-state performance when the channel is exactly sparse.