摘要
研究飞行器群内近距定位,可改善飞行器群生存能力,飞行器群载电磁矢量传感器位置误差等因素造成了群内定位困难,根据机载缺损电磁矢量传感器姿态位置与接收信号之间的变化规律,建立飞行器群载传感器阵列全孔径导向矢量。根据信号时间、极化和空域相位延迟三维数据结构关系,采用盲信号极化状态等参数的极化域波达因子探测法,保留传感器在机身中安装姿态和位置信息,计算电磁波空间谱,汇聚目标信息,实现飞行器群对短距多目标定位。对飞行器位置误差不敏感,解决短距目标极化参数随接收位置变化、交叉极化、增益/相位漂移和接收机位置误差问题。仿真试验表明该算法有效。
The research of intra-group short-range positioning can improve the survivability of the aircraft group. Some factors, such as the position error of the electromagnetic vector sensor on the aircrafts, make it difficult to measure position of aircraft. Signal steering vector of polarizing array borne on a group of unmanned aerial vehicles (UAV) is set up according to sense attitude and position. According to the three-dimensional data structure relationship of signal time, polarization and spatial phase delay, polarizing direction of arrival (DOA) factor algorithm is adopted to retain the attitude and position information of sensors installed in the fuselage, calculate the electromagnetic wave spatial spectrum, and aggregate the target information. The short-range multi-target location of aircraft group is realized. It solves the problem of polarization parameters of short-range signal vary with receiving position, cross polarization, the inaccuracy of the UAV position measurement and gain/phase drift. Simulation results show that the algorithm is effective.
作者
陈广东
黄雨泽
王媛
CHEN Guangdong;HUANG Yuze;WANG Yuan(Research Institute of Unmanned Aircraft, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China)
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2019年第5期958-963,共6页
Systems Engineering and Electronics
关键词
电磁矢量传感器
极化状态
波达方向
位置误差
electromagnetic vector sensor (EVS)
state of polarization
direction of arrival (DOA)
position errors