科研之友
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摘要
Orthogonal frequency division multiplexing (OFDM) is one of the most popular multi-carrier modulation techniques used in wireless communications and other applications. One of the major problems encountered in OFDM systems is the high peak to average power ratio (PAPR) of the transmitted signal, which will introduce nonlinear signal distortion and lead to high adjacent channel interference and make system performance worse. In this paper, a modified ABC-PTS (artificial bee colony-partial transmit sequence) PAPR reduction approach is proposed. Inspired by the idea of particle swarm optimisation algorithm, global best solution is introduced into the original ABC algorithm, and the updating equation is modified with the introduction of learning factor to consider the balance between the ability of exploration and exploitation of the algorithm. Simulation results have showed that the proposed approach has more reduction than the traditional ABC-PTS algorithm with the same time consuming while having lower bit error rate.
