标题：A fast fixed point iteration algorithm for sparse channel estimation
作者：Jiang, Xue ;Zeng, Wen-Jun ;Cheng, En
作者机构：[Jiang, Xue ] Sunplus mMobile Inc., Beijng Branch, Beijing 100085, China;[Zeng, Wen-Jun ;Cheng, En ] Key Laboratory of Underwater Acoustic Communicati 更多
会议名称：2011 3rd International Conference on Communications and Mobile Computing, CMC 2011
会议日期：April 18, 2011 - April 20, 2011
来源：Proceedings - 2011 3rd International Conference on Communications and Mobile Computing, CMC 2011
摘要：Channels with a long but sparse impulse response arise in a variety of wireless communication applications, such as high definition television (HDTV) terrestrial transmission and underwater acoustic communications. By adopting the ℓ1-norm as the sparsity metric of the channel response, the channel estimation is formulated as a complex-valued convex optimization problem. A fast fixed point iteration algorithm is developed to solve the resultant complex-valued ℓ1-minimization problem. The proposed fast channel estimation algorithm is easy to implement and has a low computational complexity of O (N log N) per iteration with N the signal length. Simulation results are provided to demonstrate the performance of the proposed fixed point algorithm. © 2011 IEEE.