提出一种称为类多信号分类(CMUSIC)的方法,其利用脉组间频率步进信号,在具有M个脉冲的脉冲串(子带,即窄带)中高分辨估计径向速度。利用此速度估计值补偿距离-多普勒耦合和多普勒色散后,对跨子带进行快速傅里叶变换则可获得合成超宽带高分辨距离像。和其他方法相比,CMUSIC在低信噪比时具有较好的速度估计性能。当M大于具有不同径向速度的目标个数Q时,该方法在小M值下依然有优越的速度估计性能。此外,经过径向速度解模糊后,该方法适应高径向速度运动的目标。随着国防技术的突飞猛进地发展以及高速先进飞行器的涌现,这具有重要的实际价值。仿真结果验证了该方法的可行及有效性。 A method called class multi-signal classification (CMUSIC) is proposed, which utilizes high-resolution radial velocity estimation in bursts with M pulses (subbands, ie narrowbands) using inter-group frequency stepping signals. Using this velocity estimate to compensate for distance-Doppler coupling and Doppler dispersion, a fast Fourier transform can be achieved across the subbands to obtain a synthesized UWB high resolution range image. Compared with other methods, CMUSIC has better speed estimation performance at low signal-to-noise ratio. When M is greater than the target number Q with different radial velocities, the method still has superior speed estimation performance under the small M value. In addition, the method adapts to the goal of high radial velocity motion after defusing the radial velocity. With the rapid development of national defense technology and the emergence of high-speed advanced aircraft, this has important practical value. Simulation results verify the feasibility and effectiveness of this method.