Adaptive Amplitude Clipping PAPR Reduction Technique using Extended Peak Reduction Tone Set
In tone reservation (TR) based OFDM systems, the peak to average power ratio (PAPR) reduction performance mainly depends on the selection of the peak reduction tone (PRT) set and the optimal target clipping level. Determining the optimal PRT set requires an exhaustive search of all combinations of possible PRT sets and this search is impractical for the number of tones used in practical systems. There are other selection methods too but with high computational complexity.
In this paper, an efficient scheme based on genetic algorithm (GA), is proposed for searching a nearly optimal extended PRT set. TR-based clipping is simple and attractive for practical implementation but determination of the optimal target clipping level is difficult. To overcome this problem, an adaptive clipping control algorithm is used. Simulation results show that the proposed algorithm efficiently obtains a nearly optimal extended PRT set and significant PAPR reduction.
R. van Nee and R. Prasad, OFDM for Wireless Multimedia Communications. Boston, MA: Artech House, Mar. 2000.
Yajun Wang, Wen Chen, and Chintha Tellambura, “Genetic Algorithm Based Nearly Optimal Peak Reduction Tone Set Selection for Adaptive Amplitude Clipping PAPR Reduction,” IEEE Trans. on Broadcasting, vol. 58, no. 3, Sep. 2012.
J. H. Holland, Adaptive in Natural and Artificial Systems. Ann Arbor, MI: Univ. Michigan Press, 1975.
H. Rowe, “Memoryless nonlinearities with Gaussian inputs: Elementary results,” Bell Syst. Tech. J., vol. 61, pp. 1519–1525, Sep. 1982.
J. Tellado and J. M. Cioffi, “PAR reduction in multicarriers transmission systems,” Information Systems Laboratory, Stanford University, Feb. 1998.
C. Tellambura, “Computation of the continuous-time PAR of an OFDM signal with BPSK subcarriers,” IEEE Commun. Lett., vol. 5, no. 5, pp.185–187, May 2001.
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