Research On The Identification Method Of True And False Bullet Based On The Static RCS Reconstruction

Ballistic missile can implement long-distance and high precision against the enemy’s strategic targets. Ballistic missile technology is an important component of national military deterrence, which has become the key factor in impacting the world political situation, changing the battlefield situation and even determining the outcome of modern war. Antimissile system, as the counterbalance ballistic missile technology, true and false target recognition is the focus of its concerns. The application of stealth technology makes the recognition distance of the defense system greatly shortened. Bait, chaff and other flying objects not only make midcourse target complex, but the electromagnetic environment of identification to be very complicated. Some fake bait is equipped with its own attitude adjustment device, which is basically the same as the real warhead, weakening the distinction between true and false targets. All of these have brought great challenges to the research of true and false target recognition technology. The micro motion feature is one of the effective characteristics of the recognition of midcourse target in the current academic field. Feature extraction based on micro motion has a very important role in the identification of true and false targets. Precession is characteristic micro state of the warhead and the paper effectively estimates by correlation algorithm target precession frequency, precession angle, vertical and horizontal inertia ratio, and reconstructs static RCS of target based on the estimated parameters. Precession parameters estimated and static RCS reconstructed is good for target recognition. The main contents of this paper are as follows:1, The trajectory mathematical model is established by combining the ellipse trajectory construction algorithm and the coordinate system conversion algorithm, and the different micro motion states of the target in the midcourse are given.2, Through the analysis of static RCS characteristics and different fretting RCS characteristics of different ballistic target, it is concluded that the target motion can be as the basis of true false target recognition,which concrete reflection is the RCS fluctuation intensity of targets in the midcourse.3, On the foundation of the precession model, this paper puts forward the convex hull circular average magnitude difference function to estimate target precession frequency and puts forward matching algorithm to estimate the target precession angle and vertical and horizontal inertia ratio. Simulation results show that the proposed algorithms have good estimation performance, and can effectively distinguish different targets. 4, According to the precession parameter estimated, this paper reconstructs static RCS sequence of targets. Simulation experiments show that the static RCS reconstruction effect and precession parameters estimated effect is positively related, which reflects the RCS sequence reconstructed and the precession parameters close correlated.5, The precession axis direction is an important parameter to affect the attitude angle of the precession model established.General, the precession axis direction and the direction of the reentry point’s velocity has the same or a small angle. This paper tests the different of precession axis direction to the influence of attitude angle. This paper examines the direction of different precession axis effecting on the attitude angle and gives the range scope of the precession axis, which dose not destory the proposed algorithm performance.