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Phase noise on OFDM systems with suppression

Author: LiGong
Tutor: ZhongHongSheng
School: University of Electronic Science and Technology
Course: Circuits and Systems
Keywords: OFDM Phase Noise The iteration phase noise suppression ICI self offset
CLC: TN919.3
Type: Master's thesis
Year: 2010
Downloads: 101
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Abstract


OFDM as the core technology of the future 4G communication , superior performance it has been widely used in the field of wireless communications . But its phase noise is extremely sensitive . Since the phase noise will be introduced to the public phase deviation (CPE) and inter carrier interference ( ICI ) , the orthogonality between subcarriers is destroyed , thus seriously affecting the performance of OFDM systems . The thesis of phase noise on OFDM system performance and phase noise suppression algorithm -depth study. First , the nature of the phase noise introduced in the CPE and the ICI analysis and research, due to the CPE for each sub-carrier within an OFDM symbol is the same , inhibit relatively easy ; ICI is random , it is estimated and inhibition compared difficult. For Wiener phase noise , in-depth study of the major parameters of ICI and system performance OFDM system . The traditional method for inhibiting the use of a pilot signal for phase noise estimation and suppression , including the CPE inhibition method , and the MMSE algorithm , but these two algorithms can only inhibit CPE ICI suppressing effect poor , the paper based on the IEEE802.11a WLAN standards proposed a simplified iterative phase noise suppression algorithm (IPNS) , directly using FFT frequency domain output signal of the the CPE phase noise is estimated iterative phase noise estimation and signal corrected with CPE , final product compensation phase noise ICI. The simulation results show that the performance of the algorithm is superior than the traditional algorithm , both white Gaussian noise (AWGN) channel and multipath Rayleigh channel , only need a few iterations can very efficiently inhibit the effects of phase noise , effectively improve the system performance , and lower complexity . This paper summarizes and analyzes the existing four kinds of ICI self- cancellation algorithm , and , respectively, in the bit error rate and carrier-to-interference ratio two of the four algorithms compared and analyzed , and simulation , respectively, in two different channel environment , conjugate class algorithm in AWGN channel showed very good results , but poor performance in multipath Rayleigh channel . This article on ICI self- cancellation algorithm proposed improvements, an improved phase noise ICI cancellation algorithm . The simulation results show that the algorithm performance is superior than the original four kinds of ICI algorithm can effectively suppress the impact of phase noise in AWGN channel and multipath Rayleigh channel .

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