射电干扰中基于测距的定位算法研究  

The Research on Range Based Location Algorithms in Radio Interference

作　　者：赵清华 李建斌[2,3] 张涛 Zhao Qinghua;Li Jianbin;Zhang Tao(Qinghai Radio Monitoring Station,Xining 810002,China;National Astronomical Observatories,Chinese Academy of Sciences,Beijing 100101,China;University of Chinese Academy of Sciences,Beijing 100049,China)

机构地区：[1]青海省无线电监测站,青海西宁810002 [2]中国科学院国家天文台,北京100101 [3]中国科学院大学,北京100049

出　　处：《天文研究与技术》2020年第4期446-453,共8页Astronomical Research & Technology

基　　金：国家自然科学基金(11173037)资助.

摘　　要：当前射电望远镜台址射频干扰越来越多,需尽量找到射频干扰源并予以消减。无线定位技术是查找干扰源、获取射频发射源准确位置的重要技术手段。基于测距的无线定位算法因其定位精度高、稳定性强而备受关注。对几种基于测距的无线定位算法进行研究,分析对比这几种测距定位算法的特点。通过对比,基于到达时间差(Time Difference of Arrival,TDOA)定位算法的计算复杂度低,定位精度高;基于接收信号强度(Received Signal Strength Indication,RSSI)定位算法简单易于实现。在此基础上提出了一种基于到达时间差定位算法和基于接收信号强度定位算法数据融合的测距无线定位算法,该算法在通过基于到达时间差定位算法获得多个初始位置估计值的基础上,引入以信号接收强度作为初始位置估计值的权值的数据融合方式,通过线性加权归一化处理获得一个定位精度较高的位置估计值。因信号接收强度易于获得,该数据融合算法在基于到达时间差定位算法基础上增加的计算量较小,仿真结果表明,该算法比单一的基于到达时间差定位算法降低了约20%的定位误差,有效提高了定位精度,便于快速发现射频干扰源。For astronomical studies observed by radio telescopes,even very weak radio frequency interference signals can cause observation failures or reduced efficiency.Radio frequency interference at radio telescope sites is increasing,and it is necessary to find and reduce the source of radio frequency interference as soon as possible.Wireless positioning technology has become an important technical means to obtain the accurate position of the radio frequency emission source when searching for the source of interference.Range based radio positioning algorithms have attracted much attention because of their high positioning accuracy and strong stability.This paper studies several radio positioning algorithms based on ranging,analyzes and compares the characteristics of these ranging positioning algorithms.Through comparison,the TDOA(Time Difference Of Arrival)positioning algorithm has low computational complexity and high positioning accuracy,and the RSSI(Received Signal Strength Indication)positioning algorithm is simple and easy to implement.On this basis,a ranging wireless positioning algorithm based on the data fusion of TDOA positioning algorithm and RSSI positioning algorithm is proposed.The algorithm introduces a data fusion method that uses signal reception strength as the weight of the initial position estimate based on multiple initial position estimates obtained by the TDOA positioning algorithm,then obtains a position with high positioning accuracy through linear weighted normalization processing estimated value.Because the signal reception strength is easy to obtain,the data fusion algorithm adds less calculation to the TDOA positioning algorithm,and the simulation results show that the algorithm reduces the positioning error by about 20%compared to the single TDOA positioning algorithm,effectively improving the positioning accuracy.It is convenient to find radio frequency interference sources quickly at low cost.

关 键 词：无线定位 射频干扰 测距 数据融合 定位精度 

分 类 号：TN0[电子电信—物理电子学] P161.4[天文地球—天文学]