For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
A Novel Compressed Sensing-Based Channel Estimation Method for OFDM System
Liping XIAO Zhibo LIANG Kai LIU
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2017/01/01
Online ISSN: 1745-1337
Type of Manuscript: LETTER
Category: Communication Theory and Signals
compressed sensing, channel estimation, multipath matching pursuit, OFDM,
Full Text: PDF>>
Mutipath matching pursuit (MMP) is a new reconstruction algorithm based on compressed sensing (CS). In this letter, we applied the MMP algorithm to channel estimation in orthogonal frequency division multiplexing (OFDM) communication systems, and then proposed an improved MMP algorithm. The improved method adjusted the number of children generated by candidates. It can greatly reduce the complexity. The simulation results demonstrate that the improved method can reduce the running time under the premise of guaranteeing the performance of channel estimation.