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

摘要

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.