基于无人机的低复杂度干扰源定位算法研究

Research on Low Complexity Interfering Source Location Algorithm Based on UAV

随着无线电事业的迅猛发展,无线电干扰现象日趋严重,严重影响了社会各个行业的正常运转。为了减少干扰事故的发生,对无线电干扰源的准确定位成为了解决问题的关键。不同于传统的发射源对移动目标进行定位的技术,展开移动终端对发射源进行定位的研究,并且将具有灵活性的无人机作为监测载体。针对无线电干扰中较为突出的同频干扰问题,提出了一种用于定位无线电干扰源的实时定位算法。该算法基于RSSI测距模型,解决了Taylor级数展开算法对初始位置依赖较高的问题。仿真结果表明,新提出的算法具有低复杂度和高精度的优点,可以准确定位干扰源。

With the rapid development of the radio industry,the phenomenon of radio co-channel interference has become increasingly serious,which has seriously affected the normal operation of various industries in the society.In order to reduce the occurrence of interference accidents,accurate positioning of such interference radio has become the key to solving the problem.Different from the traditional technology of locating moving targets,this paper develops a research based on mobile terminals to locate the source,and uses flexible drones as monitoring carriers.This algorithm is based on the RSSI ranging model and solves the problem that the Taylor series expansion algorithm is highly dependent on the initial position.Simulation results show that the proposed algorithm has the advantages of low complexity and high accuracy,and can accurately locate the interference source.