| Citation: | CHEN Shuai, FENG Cunqian, ZHANG Ronget al. Separation of midcourse multiple micro-motion targets based on DSFMT[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(2): 371-378. doi: 10.13700/j.bh.1001-5965.2019.0128(in Chinese)
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The ballistic missile forms a target group in its mid-flight, and the narrowband radar cannot separate the ballistic target from the distance because of its narrow bandwidth. In order to enable narrowband radar to separate ballistic targets, the micro-motion characteristics of ballistic targets were studied. The narrowband radar signal echo of vibration target was modeled and its convergence characteristics in discrete sinusoidal frequency modulation transform (DSFMT) domain were analyzed. The convergence characteristics of multi-component signals in the transform domain were studied to separate different signal components and the vibration frequency of the target was estimated. The simulation results show that the narrowband radar echoes of multiple vibration ballistic targets have obvious convergence characteristics in the DSFMT domain under the signal to noise ratio of -10 dB, the proposed algorithm can distinguish different vibration scattering points, and the estimated vibration frequency root mean square error is less than -2.5 dB.
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