基于改进粒子群算法的星载多波束天线干扰源定位  

Interference source location of spaceborne multi-beam antenna based on improved PSO

作　　者：阮岑 谢继东 赵凡[1,2] RUAN Cen;XIE Jidong;ZHAO Fan(National Local Joint Engineering Research Center for Communication and Network Technology,Nanjing University of Posts and Telecommunications,Nanjing 210003,China;Key Lab of Broadband Wireless Communication and Sensor Network Technology,Ministry of Education,Nanjing University of Posts and Telecommunications,Nanjing 210003,China)

机构地区：[1]南京邮电大学通信与网络技术国家地方联合工程研究中心,江苏南京210003 [2]南京邮电大学宽带无线通信与传感网技术教育部重点实验室,江苏南京210003

出　　处：《南京邮电大学学报（自然科学版）》2020年第6期50-55,共6页Journal of Nanjing University of Posts and Telecommunications：Natural Science Edition

基　　金：国家自然科学基金(91738201)资助项目。

摘　　要：基于多波束天线的频分复用原理,介绍了一种利用星载多波束天线实现干扰源定位的方法。根据多波束天线方向图的函数表达式建立了定位方程组。在定位过程中,重点分析了增益误差和波束指向误差对最终定位精度的影响。同时考虑到定位方程组的非线性特性,提出用一种基于网格搜索的粒子群算法进行求解,并利用蒙特卡洛方法进行仿真实验。最后,在解算速度和解算准确度这两个方面将该算法与传统的粒子群算法进行比较,结果表明该算法的有效性。Based on the principle of frequency division multiplexing of multi-beam antennas, a method for locating interference sources using spaceborne multi-beam antenna is introduced.Based on the function expression of the multi-beam antenna pattern, a set of positioning equations is established.During the positioning process, the effects of the gain error and the beam pointing error on the final positioning accuracy are analyzed.Meanwhile, considering the nonlinear characteristics of the positioning equations, a particle swarm algorithm based on grid search is proposed to solve the problem, and a Monte Carlo method is used for simulation experiments.Finally, the algorithm is compared with the traditional particle swarm algorithm in two aspects: the speed and the accuracy.The result shows the effectiveness of the new algorithm.

关 键 词：干扰源定位 多波束天线 定位误差 基于网格搜索的粒子群算法 

分 类 号：TN927J2[电子电信—通信与信息系统]