空间锥体目标微动特性分析与识别方法

doi:10.3969/j.issn.1001-2400.2011.02.019

Abstract

Abstract:

When the cone-shaped target is flying in exo-atmosphere, the micro-motion of the target belongs to a precession and that of the decoy belongs to a spin or a wobble. Because they are different in micro-motion, the characteristic spectrum is extracted as a recognition feature. The paper models multi-section radar signals and analyzes the micro-Doppler signature of the warhead and the decoy. Although the micro-Doppler Spectrum of precession targets,wobble targets and spin targets is approximated as a line-Spectrum, but there is a significant difference. Based on the harmonic model, eigenvalue decomposition is applied to compute the eigenvalue as the recognition feature. Simulation proves that the method is effective.

Key words: radar target recognition, micro-motion, characteristic spectrum, precession, wobble, spin

GUANG Yongsheng;ZUO Qunsheng;LIU Hongwei;DU Lan;LI Yanbing. Micro-motion characteristic analysis and recognition of cone-shaped targets[J].J4, 2011, 38(2): 105-111.

References

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Micro-motion characteristic analysis and recognition of cone-shaped targets

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