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首页> 外文期刊>Turkish Journal of Electrical Engineering and Computer Sciences >Peak-to-average power ratio reduction using backtracking search optimization algorithm in OFDM systems
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Peak-to-average power ratio reduction using backtracking search optimization algorithm in OFDM systems

机译:OFDM系统中使用回溯搜索优化算法的峰均功率比降低

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摘要

A peak-to-average power ratio (PAPR) reduction method for an orthogonal frequency division multiplexing (OFDM) system based on a combination of a partial transmit sequence (PTS) scheme with the backtracking search optimization algorithm (BSA) is proposed. The PTS scheme shows good PAPR reduction performance; however, it requires a complex computation to search the set of optimum phase factors, especially for high-speed data transmissions. To minimize the complexity of the search for optimum phase factors, the PTS scheme is combined with the BSA. The BSA is a new and efficient population-based evolutionary search algorithm for real-valued optimization problems. A set of simulations is conducted for the PAPR reduction performance and computational complexity comparisons of the BSA-PTS scheme with different PTS schemes. Simulation results indicate that the BSA-PTS scheme yields an effective PAPR reduction performance with low computational complexity.
机译:提出了一种基于部分发射序列(PTS)方案与回溯搜索优化算法(BSA)相结合的正交频分复用(OFDM)系统的峰均功率比(PAPR)降低方法。 PTS方案显示出良好的PAPR降低性能;但是,这需要复杂的计算来搜索最佳相位因子集,尤其是对于高速数据传输而言。为了使搜索最佳相位因子的复杂性最小化,PTS方案与BSA结合使用。 BSA是一种针对实值优化问题的新型,高效的基于种群的进化搜索算法。针对不同的PTS方案的BSA-PTS方案的PAPR降低性能和计算复杂度比较进行了一组仿真。仿真结果表明,BSA-PTS方案可有效降低PAPR,并且计算复杂度低。

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