A Novel Approach to Reduce the PMEPR of MCPC Signal using Random Phase Algorithm

Raghavendra CG

Abstract


This paper aims to reduce the Peak-to-Mean Envelope Power Ratio (PMEPR) of a Multicarrier Complementary Phase Coded (MCPC) signal. A MCPC signal consists of P subcarriers which are phase modulated by N distinct phase sequences. Each of these P subcarriers is spaced 1/tb apart from each other, where tb is the duration of each phase elemebbnt, constituting an Orthogonal Frequency Division Multiplexing (OFDM) signal. A probabilistic approach, namely, Random Phase Updating (RPU) algorithm, is used to reduce the PMEPR of the generated MCPC signal. The technique is applied to higher order MCPC signals and a comparison of the peak sidelobe ratio (PSLR) and integrated sidelobe ratio (ISLR) is performed. The complex envelopes, autocorrelations and ambiguity functions of the MCPC signal obtained by the above mentioned methods are analysed. The Complementary Cumulative Distribution Function (CCDF) is plotted to validate the PMEPR reduction obtained by the application of the RPU algorithm which enables us to determine the most suitable approach required for radar applications.


Keywords


Multicarrier Complementary Phase Coded (MCPC), Orthogonal Frequency Division Multiplexing (OFDM), Peak to Mean Envelope Power Ratio (PMEPR), Peak Sidelobe Ratio (PSLR), Random Phase Updating (RPU)

Full Text:

PDF

References


N. Levanon and E. Mozeson: Radar Signals, John Wiley and Sons, 2004.

M. Jankiraman, B.J. Wessels, P. van Genderen, System design and verification of the PANDORA multifrequency radar. Proceedings of international conference on Radar Systems, Brest, France, Session 1.9, 17-21 May 1999.

N. Levanon and Eli Mozeson, Phase Coded Pulse, First Edition, pp. 100-167, Wiley IEEE Press, 2004.

N.Levanon, Multifrequency complementary phase-coded radar signal, IEE proceedings- Radar, Sonar Navig., Vol.147, No.6, December 2000.

N. Y. Yu and G Gong, “Near-Complementary Sequences with Low PMEPR for Peak Power Control in Multicarrier Communications”, IEEE Transactions on Information Theory, Vol. 57, No.1, pp 505-513, Jan 2011.

M. Sharif, V. Tarokh and B Hassibi, “Peak Power Reduction of OFDM signals with Sign Adjustment”, IEEE Transactions on Communications, Vol. 57, No.7, Jan 2009.

A. Behravan and T Eriksson, “Tone Reservation to Reduce the Envelope Fluctuation of Multicarrier Signals”, IEEE Transactions on Wireless Communications, Vol. 8, No.5, Jan 2009.

Y. Rahmatallah and S. Mohan, “Peak to Average Power Ratio Reduction in OFDM Systems: A Survey and Taxonomy”, IEEE Communications Survey and Tutorial, Feb 2013.

N. Arackal and S. M. Sameer, “A Joint technique for sidelobe suppression and peak to average power ratio reduction in non contiguous OFDM based cognitive radio networks”, International Journal of Electronics, Taylor and Francis, Vol. 104, No. 2, pp 190-203, 2017.

E. Mozeson and N. Levanon, “Multicarrier Radar Signals with Low Peak-to-Mean Envelope Power Ratio”, IEE Proceedings on Radar, Sonar and Navigation, Vol. 150, No. 2, pp. 71-77, April 2003.

Tianyao Huang and Tong Zhao, “Low PMEPR OFDM Radar Waveform Design using the Iterative Least Squares Algorithm”, IEEE Signal Processing Letters, Vol. 22, No.11, pp 1975-1979, Nov 2015.

G. Lellouch, A.K Mishra, M Inggs, “Design of OFDM Radar Pulses using Genetic Algorithm Based Techniques”, IEEE Transactions on AES, Vol. 52, No. 4, pp 1953-1965, August 2016.

G S Krishnam Naidu Yedla and C H Srinivasu, Importance Of Using Gold Sequence In Radar Signal Processing, Journal Of Theoretical And Applied Information Technology, Vol.78. No.3, 31st August 2015.

E.Mozeson and N. Levanon, MATLAB Code for Plotting Ambiguity Functions, IEEE Transactions on Aerospace and Electronic Systems, Vol.38, No.3, pp. 1064-1068, July 2002.

H.Nikookar and K.S.Lidsheim, PAPR Reduction of OFDM by Random Phase Updating, in Proc. IEEE PIMRC, 2002.


Refbacks

  • There are currently no refbacks.