文章基本信息

标题：A SUB-OPTIMAL PTS ALGORITHM BASED ON BACTERIAL FORAGING OPTIMIZATION TECHNIQUE FOR PAPR REDUCTION IN MIMO-OFDM SYSTEM
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作者：R.MANJITH ; M.SUGANTHI
期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2013
卷号：57
期号：2
出版社：Journal of Theoretical and Applied
摘要：A suboptimal partial transmit sequence (PTS) based on bacterial foraging optimization (BFO) algorithm is presented for the low computation complexity and the reduction of the peak-to-average power ratio (PAPR) of a multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) system. In general, PTS technique can improve the PAPR statistics of a MIMO- OFDM system. However, it will come with an exhaustive search over all combinations of allowed phase weighting factors and the search complexity increasing exponentially with the number of subblocks. In this paper, we work around potentially computational intractability; the proposed bacterial foraging optimization (BFO) scheme exploits heuristics to search the optimal combination of phase factors with low complexity. Simulation results show that the BFO technique can effectively reduce the computation complexity, PAPR reduction and BER performance of MIMO - OFDM system.
关键词：MIMO-OFDM; Partial Transmit Sequence; Peak-To-Average Power Ratio; Bacterial Foraging Optimization; Bit Error Rate.