5th International ICST Conference on Communications and Networking in China

Research Article

On a low-complexity subblock partitioning sequence for PAPR reduction of OFDM system

Download560 downloads
  • @INPROCEEDINGS{10.4108/chinacom.2010.13,
        author={Po-Hao Chang and Shiann-Shiun Jeng and Jia-Ming Chen and Jia-Yu Lin},
        title={On a low-complexity subblock partitioning sequence for PAPR reduction of OFDM system},
        proceedings={5th International ICST Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2011},
        month={1},
        keywords={Orthogonal Frequency Division Multiplexing (OFDM) Peak to Average Power Ratio (PAPR) Partial Transmit Sequence (PTS)},
        doi={10.4108/chinacom.2010.13}
    }
    
  • Po-Hao Chang
    Shiann-Shiun Jeng
    Jia-Ming Chen
    Jia-Yu Lin
    Year: 2011
    On a low-complexity subblock partitioning sequence for PAPR reduction of OFDM system
    CHINACOM
    ICST
    DOI: 10.4108/chinacom.2010.13
Po-Hao Chang1,*, Shiann-Shiun Jeng1, Jia-Ming Chen1, Jia-Yu Lin1
  • 1: Department of Electrical Engineering, National Dong Hwa University, No. 1, Sec.2, Da-Hsueh Rd., Shou-Feng, Hualien, Taiwan, R.O.C.
*Contact email: po@mail.ndhu.edu.tw

Abstract

Conventional partial transmit sequence (PTS) orthogonal frequency division multiplexing (OFDM) system requires high hardware or high algorithm computational complexity to reduce peak to average power ratio (PAPR) so that signal distortion and power can be reduced during transmission. The Lim's PTS OFDM system is applied to this paper in the beginning with the aim at reducing hardware complexity. Since the emphasis of this paper is placed on subblock partitioning method, we then employ linear subblock partitioning method and realize the multiplications and the additions of radix-2 inverse fast Fourier transform (IFFT) butterfly diagram with linear characterization. We find that the complementary cumulative distribution function (CCDF) curve of linear subblock partitioning is close to that of non-linear subblock partitioning, and therefore our method can yield the same performance with more hardware complexity reduction.