Electromagnetism-like algorithm without local search on PAPR reduction for OFDM

EM-PTS algorithm (electromagnetism-like partial transmit sequences) can effectively reduce the PAPR (peak-to-average power ratio) of the OFDM (orthogonal frequency-division multiplexing) signal, however, it requires local search to gather the neighborhood information for the sampled particles, which increases the computational complexity of EM-PTS algorithm. In this paper, we propose a novel EM-PTS scheme without local search. In this scheme, a new definition for artificial charge of particle is given, which could make a full use of particles´ information that is reflected by the values of particles´ objective function. In addition, we introduce the particle disturbance technique into the presented scheme to avoid premature convergence and improve the algorithm´s ability of global searching. The simulation results show that the proposed method obtains more desirable PAPR reduction with lower computational complexity compared with the EM-PTS scheme.