一种低复杂度的OFDM系统峰均比降低算法

One main drawback in OFDM system is its high peak-to-average power ratio (PAPR). To solve this problem, a novel PTS algorithm based on improved simulated annealing optimization (IMSA-PTS) is proposed in this paper. Specifically, the improved SA optimization approach is applied to search the optimal combination of phase factors, which can avoid the search being trapped in a local optimum solution, and achieve the signal with minimum PAPR among all the exhaustive search without changing the simulated annealing process. Meanwhile, a threshold value is set, which can improve the convergence rate and reduce the computational complexity significantly. Simulation results show that the proposed algorithm can achieve good PAPR reduction with low computational complexity.