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  • 标题:Performance Analysis of BFO for PAPR Reduction in OFDM
  • 本地全文:下载
  • 作者:Neha Gupta ; Garima Saini
  • 期刊名称:International Journal of Soft Computing & Engineering
  • 电子版ISSN:2231-2307
  • 出版年度:2012
  • 卷号:2
  • 期号:5
  • 页码:127-133
  • 出版社:International Journal of Soft Computing & Engineering
  • 摘要:Partial transmit sequence (PTS) is one of the attractive techniques to reduce the peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) system. As conventional PTS technique requires an exhaustive searching over all the combinations of the given phase factors, which results in the computational complexity increases exponentially with the number of the sub-blocks. In this paper, we aim to obtain the desirable PAPR reduction with the low computational complexity. Since the process of searching the optimal phase factors can be categorized as combinatorial optimization with some variables and constraints, we propose a novel scheme, which is based on a bacteria foraging optimization, to search the optimal combination of phase factors with low complexity. To validate the analytical results, extensive simulations have been conducted, showing that the proposed schemes can achieve significant reduction in computational complexity while keeping good PAPR reduction.
  • 关键词:Bacteria foraging optimization (BFO);orthogonal frequency division multiplexing (OFDM); partial;transmit sequences (PTS); peak-to-average power ratio (PAPR)
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