基于混合体制雷达网的弹道目标微特征及外形参数提取

doi:10.7527/S1000-6893.2016.0054

Abstract

Abstract:

Aiming at the complexity of recognition and resolution on ballistic mid-course target, a method for three-dimensional reconstruction of ballistic target based on hybrid-scheme radar network combined low-resolution radar with high-resolution radar is proposed. Based on the separable model of nonlinear signal parameter, the amplitude-phase parameters of each scattering center on the ballistic target group with empennages are calculated by nonlinear least squares estimation method. Combined with the relationship of micro-motion features between radars, various scattering centers are separated by association processing between scattering centers. Ultimately, the three-Dimensional micro-motion features and the three-Dimensional position vectors are reconstructed by utilizing both the micro-Doppler characteristics and the relative position relation of each scattering center of ballistic target, and then the precession feature and structural parameters are estimated. Simulation results validate that the reconstruction precision of three-dimensional features has been maintained at about 92% when the signal noise ratio (SNR) is 5 dB.

Key words: micro-motion feature, hybrid-scheme radar network, matching, feature extraction, ballistic target

CLC Number:

V243.2
TN953

LI Jingqing, FENG Cunqian, SUN Hongwei, HE Sisan. Micro-motion feature and shape parameters extraction based on hybrid-scheme radar network for ballistic targets[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(6): 1963-1973.

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Micro-motion feature and shape parameters extraction based on hybrid-scheme radar network for ballistic targets

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