Title :
Frequency domain averaging for channel estimation in OQAM-OFDM systems
Author :
Dejin Kong ; Daiming Qu ; Peng Gao ; Chonggang Wang ; Tao Jiang
Author_Institution :
Division of Research, China Mobile Group Design Institute Co., Ltd, China
Abstract :
In this paper, we analyze the noise distribution and correlation characteristic on each subcarrier in OQAM-OFDM systems, and present a method based on the maximum likelihood (ML) criterion to improve the channel estimation. Then, the performance results are obtained by considering an IEEE 802.22 channel model and the proposed method is compared to the conventional frequency domain averaging (FDA) method. Simulation results show that the proposed method is an efficient method to improve the channel estimation.
Keywords :
Delays; Estimation; OFDM; Phase distortion; OQAM-OFDM; channel estimation; frequency domain averaging; maximum likelihood;
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2013 IEEE
Conference_Location :
Shanghai, Shanghai, China
Print_ISBN :
978-1-4673-5938-2
Electronic_ISBN :
1525-3511
DOI :
10.1109/WCNC.2013.6555060