KEYWORDS: Missiles, Radar, Detection and tracking algorithms, Electronic filtering, Monte Carlo methods, Motion models, Data modeling, Complex systems, Linear filtering
The midcourse of ballistic missile is the longest section of ballistic missile flight time. Accurate tracking of ballistic missile in this section can gain more time for warhead identification and determine the best interception point for ballistic missile defense system. In this paper, the method of midcourse target tracking of ballistic missile is studied. The motion acceleration of the mid-course target of ballistic missile in EUN coordinate system and spherical coordinate system is given, and the state equation and measurement equation in the mixed coordinate system and spherical coordinate system are established. The key functions are expressed explicitly, and the UKF algorithm is used to filter and track the ballistic target. Simulation analysis and comparison of the influence of the two coordinate systems on tracking performance are conducted. Simulation analysis compared the effect on tracking performance under two kinds of coordinate system.
Azimuth super-resolution is generally realized by real beam scanning deconvolution and array antenna super-resolution algorithms, especially by using amplitude envelope or phase information. Aiming at the situation that echo information is not fully utilized, this paper proposes a forward looking imaging method of array radar scanning based on compressed sensing, combining the real beam scanning by transmitter and the echo receiving by array antenna. Under the condition of sparse scene, the range dimension super-resolution is achieved by pulse compression, and the azimuth direction complex observation matrix is constructed based on the array antenna echo model, and the super-resolution is achieved by improved L1 norm smoothing approximation algorithm. The 2d super-resolution imaging simulation results show that the proposed method can effectively improve the performance.
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