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A Non Uniform DFT-Spread Constellation Reforming Method for PAPR Reduction of OFDM Signals
Abstract
In this paper, a Non uniform DFT-spread constellation reforming method is proposed for reduction of peak power to average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) system. The key idea of the proposed method is to generate virtually 3-PSK (V3PSK) by reforming quadrature phase shift keying modulation (QPSK). In this reforming modulation constellation point arranged in such way that one of the symbol is comes at origin to get benefit of DFT spreading. When the virtual QPSK constellation is employed with the conventional selected mapping (C-SLM) methods in OFDM systems, called as the V-SLM methods in this paper, Theoretical analysis and simulation results show that the virtual QPSK could reduce PAPR and also it is less complex than the conventional SLM methods.
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References
D.Wulich, “Definition of efficient PAPR in OFDM”, IEEE Commun. Lett. 9(2005)832–834.
S.Litsyn, “Peak Power Control in Multicarrier Communications”, Cambridge University Press, 2007.
R. O’Neill, L. B. Lopes, “Envelope variations and spectral splatter in clipped multicarrier signals”, in: IEEE PIMRC’95, Toronto, Canada, 1995.
D. Kim, G. L. Stuber, “Clipping noise mitigation for OFDM by decision- aided reconstruction”, IEEE Commun. Lett.3 (1999)4–6.
H. Saeedi, M. Sharif, F. Marvasti, “Clipping noise cancellation in OFDM systems using oversampled signal reconstruction”, IEEE Commun. Lett.6 (2002)73–75.
A. E. Jones, T. A. Wilkinson, S. K. Barton, “Block coding scheme for reduction of peak to mean envelope power ratio of multicarrier transmission scheme”, Electron.Lett.30 (1994)2098–2099.
A. E. Jones, T. A. Wilkinson, “Combined coding for error control and increased robustness to system nonlinearities in OFDM”, in: IEEE VTC ’96, Atlanta, GA, 1996.
R. D. Soriano, J. S. Marciano, “The effect of signal distortion techniques for PAPR reduction on the BER performance of LDPC and turbo coded OFDM system”, in: TENCON, 2006.
A.T.Erdogan, “A low complexity multicarrier PAR reduction approach based on sub gradient optimization”, SignalProcess.86 (2006) 3890–3903.
F.-X. Socheleau, S. Houcke, P.Ciblat, A. Aı¨ ssa-El-Bey, “Cognitive OFDM system detection using pilot tones second and third-order cyclostationarity”, Signal Process. 91(2011)252–268.
J. Tellado, J. Cioffi, Peak power reduction for multicarrier transmis- sion, in: IEEECTMC, GLOBECOM’98, Sydney, Australia, 1998.
D.L. Jones, “Peak power reduction in OFDM and DMT via active channel modification”, in: Asilomar Conference on Signals, Systems, and Computers, 1999.
B.S. Krongold, D.L. Jones, “Par reduction in OFDM via active con- stellation extension”, IEEE Trans. Broadcast.49 (2003)258–268.
S. H. Muller, J. B. Huber, “OFDM with reduction peak to average power ratio by optimum combination of partial transmit sequences”, Electron.Lett.33 (1997)368–369.
Y. Xiao, X. Lei, Q.Wen, S.Li, “A class of low complexity PTS techniques for PAPR reduction in OFDM systems”, IEEE Signal Process. Lett. 14(2007)680–683.
A. Ghassemi, T. A. Gulliver, “PAPR reduction of OFDM using PTS and error-correcting code subblocking”, IEEE Trans.Wireless Commun.9 (2010) 980–989.
S. H. Muller, J. B. Huber, “A comparison of peak power reduction schemes for OFDM”, in: GLOBECOM, 1997.
P. V. Eetvell, G. Wade, M. Tomlinson, “Peak to average power reduction for OFDM schemes by selective scrambling”, Electron. Lett. 32(1996)1963–1964.
R. W. Bauml, R. Fischer, J. B. Huber, “Reducing the peak to average power ratio of multicarrier modulation by selected mapping”, Electron. Lett. 32(1996)2056–2057.
A. D. S. Jayalath, C. Tellambura, “A blind slm receiver for PAR-reduced OFDM”, in: VTC, 2002.
A. D. S. Jayalath, C. Tellambura, “Reducing the peak-to-average power ratio of orthogonal frequency division multiplexing signal through bit or symbol interleaving”, Electron. Lett. 36(2000)1161–1163.
A. D. S. Jayalath, C. Tellambura, “Peak-to-average power ratio reduc tion of an OFDM signal using data permutation with embedded side information”, in: ISCAS, 2001.
Hiroshi Harada and Ramjee Prasad, “Simulation and software radio for mobile communications”, Artech House Universal personal communication series Boston, London.
Cho, Kim, Yang & Kang, “MIMO-OFDM Wireless Communications with MATLAB”, IEEE Press 2010, pp. 241-246.
Cai Li, Tao Jiang, Yang Zhou and Haibo Li, “A Novel Constellation Reforming Method for PAPR Reduction of OFDM Signals,” IEEE Trans. Signal process., Vol. 59, no. 6,pp 2710 - 2720 Jun. 2011.
Hyun-Bae Jeon, Jong-Seon No,and Dong-Joon Shin, “A Low-Complexity SLM Scheme Using Additive Mapping Sequences for PAPR Reduction of OFDM Signals” IEEE Trans.on Broadcasting, Vol. 57, no. 4,pp 866-875 Dec. 2011.
A. Ghassemi and T. A. Gulliver, “Partial selective mapping OFDM with low complexity IFFTs” IEEE Comm. Lett., vol. 12, no. 1, pp. 4–6, Jan.2008.
Ishan Girdhar, Charanjeet Singh and Amit, kumar, “ Performance Analysis of DFT Spread OFDM Systems” International Journal of Advances in Computer Science and Technology,Vol 2, No.5, May 2013
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