一种TDCS自适应粒子群导频优化设计算法  

An adaptive particle swarm pilot optimization design algorithm for TDCS

作　　者：李明 任清华[1] 李夏昭 吴佳隆 LI Ming;REN Qinghua;LI Xiazhao;WU Jialong(Information and Navigation College,Air Force Engineering University,Xi’an 710077,P.R.China)

机构地区：[1]空军工程大学信息与导航学院,西安710077

出　　处：《重庆邮电大学学报（自然科学版）》2021年第3期420-426,共7页Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)

基　　金：国家重点实验室合作基金(KX162600022)。

摘　　要：为了解决变换域通信系统(transform domain communication system,TDCS)基函数存在不可用频带而产生的导频优化设计问题,提高TDCS的信道估计精度,提出了基于自适应粒子群算法的TDCS导频优化设计。构建TDCS信道估计模型,分析不可用频带对信道估计性能的影响并建立导频优化模型,设计导频优化的适应值函数和自适应惯性权重,通过粒子群算法对导频的位置和功率进行优化。在不同干扰环境下的仿真结果表明,新算法较传统粒子群算法收敛速度更快,优化能力更强,其信道估计精度和误码率性能接近最优导频。与等间隔等功率导频相比,在单干扰和多干扰频带下误码率分别有2.6 dB和2.2 dB的性能增益。In order to solve the pilot optimization problem caused by the unavailable frequency bands in the basic function of the transform domain communication system,and improve the channel estimation accuracy of TDCS,we propose a pilot optimization design of TDCS based on adaptive particle swarm optimization algorithm.Firstly,the TDCS channel estimation model is constructed,the influence of unavailable frequency bands on channel estimation performance is analyzed and the pilot optimization model is established.Secondly,the fitness function and the adaptive inertia weight of pilot optimization are designed.At last,the position and power of pilot are optimized by particle swarm optimization.The simulation results in different interference environments show that the new algorithm converges faster and has stronger optimization ability than the traditional particle swarm optimization,its channel estimation accuracy and BER performance are close to the optimal pilot.Compared with the equal-interval and equal-power pilot,the BER has a performance gain of 2.6 dB and 2.2 dB in the single interference and multiple interference bands.

关 键 词：变换域通信系统 干扰 导频设计 粒子群算法 

分 类 号：TN92[电子电信—通信与信息系统]