DocumentCode :
1220097
Title :
Phase noise analysis of the OFDM communication system by the standard frequency deviation
Author :
Ryu, Heung-Gyoon ; Lee, Ying-Shan
Author_Institution :
Dept. of Electron. Eng., Chung-Buk Nat. Univ., Cheongju, South Korea
Volume :
49
Issue :
1
fYear :
2003
Firstpage :
41
Lastpage :
47
Abstract :
This paper analyzes phase noise effects on the performance of an OFDM communication system by the linear approximation approach. We newly present a generalized phase noise power spectrum density (PSD) model using the normalized phase noise power spectrum model-Lorentzian model. Also, we derive the relationship between the phase noise PSD´s parameter f3dB and the standard frequency deviation fd of phase noise probability density function (PDF), and the relationship between phase noise variance σφ2 and fd. Analytical BER results closely match with simulation results of the OFDM communication system using QPSK and 16QAM modulation format. The performance of OFDM system is evaluated when the bandwidth Bs=10 MHz and phase noise is included. When the standard frequency deviation fd are 5 Hz, 8 Hz. and 12 Hz, the SNR to meet the BER=10-4 in AWGN channel experiences the power penalty by about 0.6 dB, 1.0 dB and 1.7 dB in the QPSK scheme and about 1.9 dB, 3.2 dB and 67 dB in 16QAM modulation than the OFDM communication system without phase noise. Furthermore, the BER performance of the QPSK-OFDM communication system is considerably degraded because of the BER error floor if the phase noise standard frequency deviation fd becomes greater than 30 Hz.
Keywords :
AWGN channels; OFDM modulation; approximation theory; error statistics; phase noise; probability; quadrature amplitude modulation; quadrature phase shift keying; spectral analysis; 16QAM; AWGN channel; BER performance; Lorentzian model; OFDM communication system; PDF; QPSK; QPSK-OFDM communication system; bandwidth; generalized PSD model; linear approximation; normalized phase noise power spectrum model; orthogonal frequency division multiplexing; phase noise analysis; phase noise power spectrum density model; phase noise probability density function; standard frequency deviation; Analytical models; Bit error rate; Communication standards; Linear approximation; OFDM; Performance analysis; Phase noise; Power system modeling; Probability density function; Quadrature phase shift keying;
fLanguage :
English
Journal_Title :
Consumer Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0098-3063
Type :
jour
DOI :
10.1109/TCE.2003.1205454
Filename :
1205454
Link To Document :
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