Abstract
This paper focuses on super-temporal resolution velocity vector estimation in the through-the-wall imaging (TWI) scenario, for human body detection in rescue or crime scenes. In the pulse-Doppler radar system, there is trade-off between Doppler velocity and temporal resolution, and it leads difficulty for real-time target tracking for motion vector, especially for in the lower frequency band ultra-wideband (UWB) radar system, which is required in TWI radar to maintain an enough penetration depth in concrete material. Since general UWB signal has larger fractional bandwidth, then reflection pulse is located over a range gate along slow-time direction, that is known as the range walk (RW) effect. As a substantial solution for this problem, this paper introduces the Gaussian-kernel based Doppler velocity estimation for motion estimation by exploiting the range points migration (RPM) method, where instantaneous motion vector of target can be calculated by least square approach. The finite-difference time-domain (FDTD) based numerical simulation demonstrates that our proposed method achieves accurate velocity vector estimation updated with pulse repetition interval.
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