Interference Location Technology Based On A Single GEO Satellite

As a powerful supplement to the ground communication system,the satellite communication system has been used widely by people,because of its wide coverage,long communication distance and free from geographical restrictions.However,communication satellites often operate in an open working environment.As for the satellite communication system with large extended multi-beam antenna,it is easy to be affected by all kinds of intentional or unintentional interference while improving the sensitivity of antenna receiving signal,which brings great hidden danger to the satellite communication.The traditional method of interference source localization is based on TDOA(Time Difference of Arrival),FDOA(Frequence Difference of Arrival)and AOA(Angle of Arrival).Although these technologies have high positioning accuracy,fast positioning speed and low system complexity,at least two qualified satellites are required to cooperate with each other.In order to avoid the difficulty of selecting adjacent satellites and reduce the consumption of orbital resources,a satellite-borne multi-beam antenna interference-location technology is proposed based on a single GEO satellite.Large,extended antennas are often used in the multi-beam antennas of GEO mobile communication satellite systems.This type of antenna has a higher gain,so there exists to be a large gain overlap between adjacent beams multiplexed in the same frequency.This paper takes GEO satellite as an examplea.According to the principle of frequency division multiplexing of spaceborne multibeam antenna,three co-frequency beams are proposed to locate the interference source.Mainly completed the following work.(1)Positioning system of equations: according to the characteristic that the interference signal can obtain different gain in each beam,a set of positioning equations related to the position of the interference source are established.To solve the positioning equations,this paper improves the traditional particle swarm optimization algorithm and proposes a particle swarm optimization algorithm based on grid search,and compares it with the traditional particle swarm optimization algorithm in terms of time complexity and positioning accuracy,which proves the effectiveness of this algorithm;(2)Error analysis: The effects of relative gain measurement error and beam pointing error on positioning accuracy are analyzed in two scenarios: ‘the interference source is near the subsatellite point' and ‘the interference source is away from the subsatellite point'.In the case of satellite perturbation,the influence of gain error and beam pointing error on the positioning result is analyzed;(3)Implementation of positioning algorithm: Based on the research of the positioning algorithm,this part applies the positioning algorithm in practice by designing the positioning simulation interface.At the same time,the related localization algorithm is introduced in the function part of the localization interface.