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

AbstractA 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