基于STBC MIMO-OFDM系统特性的并行选择映射算法

正交频分复用(OFDM)技术是第四代移动通信系统的核心技术之一,但是高峰均功率比(PAPR)问题的存在一直是该技术实用化的主要障碍.针对该问题,证明了基于空时分组码的MIMO-OFDM系统中,共轭信号具有相同的峰均功率比特性,提出了基于相同峰均比特性的并行选择映射算法.所提算法不仅保持了已有并行选择映射算法的峰均比降低性能,同时有效地减少了算法复杂度,降低了边带信息的传输量,提高了系统的频带利用率.仿真实验结果证明了所提算法的有效性.

A Novel Concurrent Selective Mapping Algorithm Based on Property of STBC MIMO-OFDM Systems

The orthogonal frequency division multiplexing(OFDM) has been regarded as the core technology of 4G wireless communications system in the future,but the problem of high peak-to-average power ratio(PAPR) is the main obstacle to limit the applications of OFDM.A novel concurrent selective mapping(SLM) algorithm is thus proposed to reduce the PAPR in space-time block coded(STBC) MIMO-OFDM systems.It is proved that the conjugate symbols of two antennas have the same PAPR property,which results in that PAPR reduction to be done is only for the first symbol period.By using the property in the proposed algorithm,the cost due to computational complexity is significantly reduced with the same PAPR performance kept in comparison with the conventional concurrent SLM algorithm.Simulation results demonstrated that the performance of the proposed algorithm outperforms the conventional concurrent SLM algorithm.