重庆邮电大学学报（自然科学版）2017，Vol.29Issue(3)：335-340,6.DOI:10.3979/j.issn.1673-825X.2017.03.008
基于二进制粒子群算法的OFDM稀疏信道导频优化
Pilot design based on binary particle swarm optimization in the OFDM sparse channel
摘要
Abstract
The reasonable pilot design can improve the performance of the channel estimation in the OFDM sparse channel.With the objective to minimize the cross correlation of the measurement matrix,this paper proposed a pilot optimization algorithm based on the binary particle swarm optimization algorithm.In addition,the chaos initialization is to ensure that the initial particles are evenly dispersed in the solution space.The particle mutation mechanism is to ensure the rapid convergence of the population.Simulation results show that compared with the random pilot design algorithm,the bitwise pilot design algorithm and the least squares algorithm,the proposed algorithm can effectively save the pilot overhead,improve the spectrum efficiency and provide a better channel estimation performance.关键词
正交频分复用(OFDM)/压缩感知/导频优化/二进制粒子群算法Key words
orthogonal frequency division multiplexing OFDM)/compressive sensing/pilot design/binary particle swarm optimization algorithms分类
信息技术与安全科学引用本文复制引用
刘远航,刘晓彤,彭帅,万晋京..基于二进制粒子群算法的OFDM稀疏信道导频优化[J].重庆邮电大学学报（自然科学版）,2017,29(3):335-340,6.基金项目
长江学者和创新团队发展计划(IRT1299) （IRT1299）
重庆市科委重点实验室专项经费(cstc2013yykfA40010)The Program for Changjiang Scholars and Innovative Research Team in University (IRT1299) （cstc2013yykfA40010）
The Project of CSTC and Special Fund of Chongqing Key Laboratory (CSTC2013yykfA40010) （CSTC2013yykfA40010）
