利用脉组间频率步进信号合成UWB距离像及类MUSIC法对速度的高分辨估计(英文)

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。

Synthetic UWB Range Profile Using SFPTs and Class MUSIC for High-resolution Velocity Estimation

A method, called class multiple signal classification (CMUSIC), is proposed to estimate high-resolution radial velocity in each pulse train (subband, i.e. narrowband) with M pulses based on stepped frequency pulse trains (SFPTs) signal. A synthetic ultra-wideband (UWB) high-resolution range profile (HRRP) is then obtained by fast Fourier transform (FFT) processing along the subbands after compensating the range-Doppler coupling and Doppler dispersion with the estimated velocity. Compared with the other methods, CMUSIC has fine performance of velocity estimation at low signal-to-noise ratio (SNR) level. This method also has excellent performance with small M as long as the requirement, i.e. M is large than Q, is able to be fulfilled, where Q is the number of targets with different radial velocities. In addition, through a radial velocity resolving, the method can be well suitable for targets moving at high radial velocities, which has significant practical value with considerable progress made in the national defence technology and the advanced vehicles moving at high speed springing up. Simulation results demonstrate the feasibility and effectiveness of the method.