DocumentCode :
677284
Title :
Phase noise suppression for OFDM system with sparse constraint
Author :
Xiaofeng Shen ; Tieqi Xia ; Jiyan Huang ; Yijiang Pan ; Wei Wang
Author_Institution :
Dept. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
fYear :
2013
fDate :
26-28 Aug. 2013
Firstpage :
119
Lastpage :
123
Abstract :
One major disadvantage of OFDM is its high sensitivity to phase noise introduced by local oscillators. Although several algorithms have been addressed in the literature to mitigate the effects of phase noise, there are two unsolvable problems for the current study of phase noise suppression that the CPE correction algorithms are based on the perfect channel state information and the ICI suppression methods perform poorly or will reduce the spectral efficiency in some cases. In this paper, we propose two novel algorithms for phase noise suppression. The proposed methods can effectively suppress CPE and ICI using the sparse property of channel impulse response (CIR) without the prior knowledge of CIR and the spectrum expenses.
Keywords :
OFDM modulation; array signal processing; intercarrier interference; interference suppression; signal denoising; CIR; CPE correction algorithms; ICI suppression methods; OFDM system; blind beamforming; channel impulse response; common phase error; inter-carrier interference; local oscillators; perfect channel state information; phase noise suppression; sparse constraint; sparse property; spectral efficiency; spectrum expenses; Channel estimation; Filtering; Joints; OFDM; Phase noise; Time-domain analysis; Blind beamforming; Cyclostationarity signals; Sidelobe suppression; Sparse constraint;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information and Automation (ICIA), 2013 IEEE International Conference on
Conference_Location :
Yinchuan
Type :
conf
DOI :
10.1109/ICInfA.2013.6720281
Filename :
6720281
Link To Document :
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