Space infrared tracking of a hypersonic cruise vehicle using an adaptive scaling UKF
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ORIGINAL PAPER
Space infrared tracking of a hypersonic cruise vehicle using an adaptive scaling UKF Jiahui Liu1 · Qi Luo1 · Jiaxin Lou1 · Yuankai Li1 Received: 28 April 2020 / Revised: 10 August 2020 / Accepted: 26 August 2020 © Shanghai Jiao Tong University 2020
Abstract To perform surveillance of a hypersonic cruise vehicle (HCV), space-based infrared system is a reliable and feasible means, which has been putting on the schedule for providing positioning and tracking information of the high-altitude unmanned vehicles. In this paper, a space-based HCV tracking method based on infrared satellite constellation is proposed. The method contains three main parts: constellation coverage analysis, a bearing-only positioning algorithm, and a tracking algorithm. For target tracking, an adaptive scaling unscented Kalman filter (ASUKF) is applied for high estimation performance. Simulation results are presented to show the effectiveness of the method. Keywords Hypersonic cruise vehicle · Satellite constellation · Space infrared tracking · Adaptive scaling UKF
1 Introduction Hypersonic cruise vehicles (HCV) are crucial platforms for military or commercial purposes to enter the near space with high efficiency. Due to hypersonic cruise velocity, HCV has characteristics of trajectory flexibility and radiation invisibility. The ground-based radar detection system is hard to provide real-time and precise information for such a hypersonic target in near space. An alternative approach is to use space-based infrared system for HCV detection. Space-based infrared system is an important approach for early warning and positioning. A typical example is the space-based infrared surveillance system (SBIRS). It can be used for reliable and stable tracking of missiles, which provides target indication for the anti-missile system. Compared with ground-based warning radars, it has a larger surveillance area, longer working time, higher sensitivity, and lower interference [1]. In the system, there are four satellites in geosynchronous (GEO) orbit and two sensors on multi-mission satellites in highly elliptical orbit comprise the high-altitude component of the constellation [2]. In the lower part, which is also known as the Space Tracking and
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Yuankai Li [email protected] Province Key Laboratory of Aircraft Swarm Intelligent Sensing and Cooperative Control, University of Electronic Science and Technology of China, Chengdu 611731, China
Surveillance System (STSS) or the former SBIRS Low, low earth orbit (LEO) satellite constellation is designed to support missile defense configuration that has not yet been selected, but it will likely include from eighteen to forty satellites [3, 4. For the approach to space-based target tracking, spacebased positioning is a prerequisite. Recently, many efforts have been made on satellite positioning. A method of Marquardt algorithm proposed in [5] provides a feasible way of two-satellite positioning, and relative position constraint is considered in [6]. Besides, a method based on clock bias is p
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