无人机无线电监测混合定位算法  

Research on hybrid positioning algorithm based on UAV radio monitoring

作　　者：郭永宁 李燕龙[1] GUO Yongning;LI Yanlong(School of Information and Communication,Guilin University of Electronic Technology,Guilin 541004,China)

机构地区：[1]桂林电子科技大学信息与通信学院,广西桂林541004

出　　处：《桂林电子科技大学学报》2021年第5期362-367,共6页Journal of Guilin University of Electronic Technology

基　　金：广西重点研发计划(桂科AB18126030)。

摘　　要：针对采用多无人机测向交叉定位法实现效率低、复杂度高的问题,提出了一种单无人机干扰源定位算法。运用无人机短时间内在多点实现干扰源信号方向与强度测量,利用测向交叉定位法并结合干扰信号强度(RSSI)测距交叉定位法进行求解运算,给出了交叉定位模型求解流程,并在交叉定位的基础上,对不同测量位置接收到的干扰信号强度进行高斯滤波后,对干扰源位置进行估计,对测向交叉定位结果进行修正。实验结果表明,当测向误差角度大于4°时,混合定位算法比测向交叉定位算法定位精度提高至少15 m。Aiming at the problems of low efficiency and high complexity using multi-UAV direction finding cross positioning method, a single UAV interference source positioning algorithm is proposed. Using the drone to realize the measurement of the direction and strength of the interference signal at multiple points in a short time, using the direction-finding cross-location method combined with the interference signal strength(RSSI) ranging cross-location method to solve the calculation, and giving the cross-location model solution process On the basis of cross-location, Gaussian filtering is performed on the interference signal strength received at different measurement locations to estimate the location of the interference source, and the direction-finding cross-location results are corrected. The experimental results show that when the directional error angle is greater than 4°, the hybrid positioning algorithm improves the positioning accuracy by at least 15 m compared to the directional cross positioning algorithm.

关 键 词：无人机 测向误差 交叉定位 RSSI 高斯滤波 

分 类 号：TN914[电子电信—通信与信息系统]