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Published Online:2016-09,
Published:15 September 2016
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Xijian ZHONG, Gengxin ZHANG, Zhidong XIE. Interference source single satellite location method based on movable antenna with spot beam[J]. Telecommunications science, 2016, 32(9): 102-106.
Xijian ZHONG, Gengxin ZHANG, Zhidong XIE. Interference source single satellite location method based on movable antenna with spot beam[J]. Telecommunications science, 2016, 32(9): 102-106. DOI: 10.11959/j.issn.1000-0801.2016190.
针对地球同步轨道通信卫星,提出了一种基于可移点波束天线的干扰源单星定位方法。该方法通过天线方向图函数建立干扰源的位置指向与天线增益的映射关系,通过多次移动可移点波束获取干扰信号的强度,结合可移点波束各中心指向信息,建立干扰信号链路计算的方程组,利用粒子群搜索算法对其进行求解,可得到干扰源的指向,结合星历及地球信息求出干扰源的经纬度。采用上述干扰源定位方法对地面干扰源进行了定位仿真,结果表明了该方法的有效性。
An interference source single satellite location method based on movable antenna with spot beam was proposed for GEO satellites.In this method
a mapping relationship between orientation of interference and antenna gain is first established with the function of antenna pattern.Equations were established to calculate the interference signal link combining the orientation information of center of movable spot beam and the intensity of interference signal which derived from moving the beam several times.The orientation of interference was obtained by solving the equations with the help of particle swarm optimization(PSO).Then the longitude and latitude of the interference source could be calculated
jointly considering the ephemeris and the information of the earth.We made a positioning simulation of the ground interference source with the proposed method.The results validate the effectiveness of this method.
余强 , 谢智东 , 张更新 . 一种基于星载多波束天线的单星干扰源定位方法 [J ] . 通信技术 , 2009 , 48 ( 1 ): 37 - 41 .
YU Q , XIE Z D , ZHANG G X . Single satellite interference location based on satellite-borne multi-beam antenna [J ] . Communications Technology , 2009 , 48 ( 1 ): 37 - 41 .
CAINI C , CORAZZA G E , FALCIASECCA G , et al . A spectrum-and power-efficient EHF mobile satellite system to be integrated with terrestrial cellular systems [J ] . IEEE Journal on Selected Areas in Communications , 1992 , 8 ( 10 ): 1315 - 1325 .
刘建华 . 粒子群算法的基本理论及其改进研究 [D ] . 长沙:中南大学 , 2009 .
LIU J H . The research of basic theory and improvement on particle swarm optimization [D ] . Changsha:Central South University , 2009
欧阳艾嘉 , 刘利斌 , 乐光学 . 求解非线性方程组的混合粒子群算法 [J ] . 计算机工程与应用 , 2011 , 47 ( 9 ): 33 - 37 .
OUYANG A J , LIU L B , YUE G X . Hybrid particle swarm optimization for solving systems of nonlinear functions [J ] . Computer Engineering and Applications , 2011 , 47 ( 9 ): 33 - 37 .
KENNEDY J , EBERHART R . Particle swarm optimization [C ] // The 1995 IEEE International Conference on Neural Network,November 27-December 1,1995,Perth,Australia . New Jersey:IEEE Press , 1995 : 1942 - 1948 .
PANDEY B B , DEBBARMA S , BHARDWAJ P . Particle swarm optimization with varying inertia weight for solving nonlinear optimization problem [C ] // The 2015 International Conference on EESCO,Jan 24-25,2015,Visakhapatnam,India . New Jersey:IEEE Press , 2015 : 1 - 5 .
朱平 . 拟蒙特卡罗方法的若干研究与应用 [D ] . 杭州:浙江大学 , 2010 .
ZHU P . The studies and applications of quasi Monte Carlo methods [D ] . Hangzhou:Zhejiang University , 2010 .
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