Volume 37, Number 2, April 2019
|308 - 314
|05 August 2019
Research on Target Searching Strategy Using Mutual Cueing of Multi-sensor in Multi-platform
School of Electronics and Information, Northwestern Polytechnical University, Xi’an 710072, China
2 Systems Engineering Research Institute, China State Shipbuilding Corporation, Beijing 100094, China
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.
Key words: multi-platform / multi-sensor / cueing error / cueing probability / false hand-off probability / target searching strategy
关键字 : 多平台 / 多传感器 / 引导误差 / 引导概率 / 误交接概率 / 搜索策略
© 2019 Journal of Northwestern Polytechnical University. All rights reserved.
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