TY - GEN
T1 - Sparse channel estimation based on L1/2 regularization in OFDM systems
AU - Duan, Wenlei
AU - Li, Feng
AU - Liu, Zhe
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/12/11
Y1 - 2014/12/11
N2 - This paper addresses the problem of sparse channel estimation in orthogonal frequency-division multiplexing (OFD-M) systems. A novel sparse channel estimatior using iterative half thresholding algorithm based on L1/2 regularization is proposed. Compared with the traditional greedy pursuit and L1 regularization, the merit of the new method is twofold. Firstly, the new method has robust capacity to combat the observation noise. Secondly, it can deeply exploits the sparsity of the channel to reduce the number of pilots and hence raises the spectral efficiency. Simulation results demonstrate the effectiveness of the proposed algorithm.
AB - This paper addresses the problem of sparse channel estimation in orthogonal frequency-division multiplexing (OFD-M) systems. A novel sparse channel estimatior using iterative half thresholding algorithm based on L1/2 regularization is proposed. Compared with the traditional greedy pursuit and L1 regularization, the merit of the new method is twofold. Firstly, the new method has robust capacity to combat the observation noise. Secondly, it can deeply exploits the sparsity of the channel to reduce the number of pilots and hence raises the spectral efficiency. Simulation results demonstrate the effectiveness of the proposed algorithm.
UR - https://www.scopus.com/pages/publications/84920168230
U2 - 10.1109/ICTC.2014.6983177
DO - 10.1109/ICTC.2014.6983177
M3 - 会议稿件
AN - SCOPUS:84920168230
T3 - International Conference on ICT Convergence
SP - 442
EP - 445
BT - International Conference on ICT Convergence
PB - IEEE Computer Society
T2 - 5th International Conference on Information and Communication Technology Convergence, ICTC 2014
Y2 - 22 October 2014 through 24 October 2014
ER -