Infrared modeling and imaging simulation of midcourse ballistic targets based on strap-down platform

Abstract

An infrared (IR) imaging simulation framework based on the strap-down platform is proposed for midcourse ballistic targets. It overcomes the shortcoming of the existing algorithms, which cannot simulate IR imaging from the entire midcourse process. The proposed framework includes three steps, target characteristic modeling, motion modeling, and imaging modeling. In imaging modeling, the staring focal plane is taken into account due to its wide employment. In order to obtain IR images of high fidelity, especially that the fluctuation of the target signal-to-noise ratio (SNR) is reasonably similar to the actual one, this paper proposes an improved IR imaging simulation method. The proposed method considers two critical factors of the pixel plane, occupy-empty ratio and defect elements, which affect the imaging of targets markedly but are neglected in previous work. Finally, the IR image sequence of high fidelity is obtained. And the correlative parameters of simulation can be set according to the given scene. Thus the generated images can satisfy the needs of algorithms validation for tracking and recognition.

Micro-Motion Dynamics and Shape Parameters Estimation Based on an Infrared Signature Model of Spatial Targets

“…Letting the symmetric axis of the object be the z-axis of local coordinate system (x,y,z). The object's local coordinate system (x,y,z) and the reference coordinate system (X,Y,Z) share the same origin point O [10].…”

“…Letting the symmetric axis of the object be the z-axis of local coordinate system (x,y,z). The object's local coordinate system (x,y,z) and the reference coordinate system (X,Y,Z) share the same origin point O [10]. Assume that the target rotates about a rotation axis ON in the reference coordinate system, and its azimuth and elevation angle in the above coordinates are αR and βR with the angular velocity of ω.…”

Independent Random Recurrent Neural Networks for Infrared Spatial Point Targets Classification

“…An analysis method based on mixed micro-Doppler time-frequency sequences has been put forward to extract micro-motion dynamic and inertial characteristics (including the spin rate, the precession rate, and the nutation angle, etc.) of free rigid targets in the space [5][6][7].…”

Micro-motion dynamics analysis of ballistic targets based on infrared detection

“…Since types of ballistic targets including reentry vehicles (RV), boosters, decoys and separation debris group closely in space and share the same trajectory and velocity in the midcourse flight, it is very difficult to distinguish them using the available information of bulk motion [1]. However, separated targets are always in vibrational or rotational motions (referred to as micro-motions), such as spinning, precession and tumbling, in addition to their bulk motions [2]. Thus, the micro-motion characteristics of ballistic targets become significant clues to discriminate RV from decoys and other missile parts.…”

“…While, for the detecting equipment onboard the missile, the radar is not suitable due to the limitations of space and cost. Generally the optical detection systems, such as the infrared (IR) detectors, are equipped on the interceptor to detect and recognize the true RVs [2].…”