Keystone transform based range-Doppler processing for human target in UWB radar

The feasibility of using Keystone transform based range migration compensation for range-Doppler processing in ultra-wideband (UWB) moving target indication (MTI) radar is investigated. The conventional Fourier transform based approach is outlined, and the challenge of using the conventional method in UWB radar for slow-moving extended target (human) is addressed. Keystone transform is applied to both simulated and experimental human target data. It is shown that Keystone transform based approach outperforms the conventional approach in terms of better Doppler resolution and less range-Doppler image blurring. The result also demonstrates that hypothesis-testing based approach and Keystone Transform based approach have similar performance, but the latter is more suitable for real-time implementation due to its smaller computation burden.