Research On Tracking Algorithms For Near Space Target With High Speed And Strong Maneuvering

In recent years, with the development of science technology, Near-space hypersonic vehicle brought great threat to the world. As the aircraft with the characteristics of high speed, high maneuvering and low radar cross section(RCS), etc., it is a challenging task for tracking these maneuvering targets. Besides, the robust tracking of near-space maneuvering targets has attracted considerable attentions in radar society. This paper focuses on the study of the tracking problem for near-space high speed and high maneuvering targets, mainly from fast track initiation and robust track maintenance.The specific contributions of this paper are listed as follows:1. For the tracking initiation problem of near-space maneuvering targets, a fast track initiation method based on the Doppler information and modified Hough transform is proposed. Compared with the traditional track initiation algorithm, the proposed method has higher correct track initiation probability and lower false track initiation probability.2. As the near-space maneuvering target’s strong nonlinear characteristics, a nonlinear filtering algorithm based on random integration is introduced to solve the problem of low precision and unstable filtering, where the unbiased estimation of the system state is obtained via a stochastic integral criterion.3. Based on the motion characteristics of the near-space maneuvering targets during different flight phase, we propose an interactive multi-mode nonlinear filtering algorithm to achieve the goal of optimal tracking, where the target’s state is estimated iteratively and then the tracking method is adaptively matched. Compared with C-IMMSSIF the advantage of the presented algorithm is that it can obtain higher tracking probability and tracking precision with much lower computational complexity.4. The hypersonic vehicle has different motion characteristics for different flight phases. As for the motion characteristics, we also analyze the performance of the proposed tracking algorithm with different system inputs, i.e., data rate, detection probability and target’s maneuvering characteristics and get a series of conclusions.The effectiveness of the proposed algorithms is demonstrated via simulation experiments. The results show that the tracking performance of the maneuvering targets during different flight phases can be improved via the proposed methods, which are helpful for the practical applications.