Research on Target Searching Strategy Using Mutual Cueing of Multi-sensor in Multi-platform

多平台多传感器相互引导目标搜索策略研究

¹ School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
² Systems Engineering Research Institute, China State Shipbuilding Corporation, Beijing 100094, China

Received: 12 May 2018

Abstract

The cueing model for sensor cueing phased array radar is built in this paper to research the mutual cueing of multi-sensor in multi-platform for target searching. For the purpose of establishing the distribution probability density model of targets in cueing airspace, cueing error of multi-platform is derived with error transfer method. The successful cueing probability and false hand-off probability between platforms are analyzed, meanwhile the requirement of timeliness is defined. An optimized target searching strategy of cueing radar which adopts distance search through using the cueing center as starting point and controlling false hand-off probability of a single wave position is put forward. The simulation result illustrates that the searching strategy can significantly save radar search resources to capture target successfully, simultaneously decrease the false hand-off probability. The strategy can be applied to the design of dynamic programming software of multi-sensor in multi-platform for collaborative search, which requires accuracy and real-time capability.

摘要

建立传感器对相控阵雷达的引导模型，对多平台多传感器间相互引导的目标搜索策略展开研究。基于误差传递的方式，推导异平台引导误差，构建目标在指示空域的分布概率模型；推导成功引导概率、定义误交接概率、明确引导时效性要求，提出以引导中心所在波位为起始、距离递进搜索且控制单个波位误交接概率水平的引导雷达搜索策略。仿真结果表明：所提搜索策略在确保对目标成功捕获的同时，极大地节约了雷达搜索资源且大幅度降低了全过程误交接概率，适用于对精确性、实时性有严格要求的多平台多传感器协同搜索动态规划软件设计。