Extended Bezier Model-Based Human Target Localization Algorithm by Doppler Radar
Yipeng Ding, Shanliushui Gao, Yinhua Sun, Xuemei Xu, Juan Zhang
Abstract
This letter proposes a Doppler through-wall radar (TWR) positioning method based on the Hough transform of the extended Bezier model. First, the Hough transform based on the extended Bezier model is used to extract the interested target components from received echoes and estimate their instantaneous frequency (IF). Next, the real-time position of the target is estimated according to the Doppler processing. To improve the adaptability of the algorithm to different target trajectories, especially to solve the problem of asymmetric curve fitting, the proposed extended Bezier model can approach the practical IF curve by dynamically adjusting two parameters, which can not only keep the relatively low computational complexity but also significantly improve the positioning accuracy. Moreover, the proposed algorithm effectively solves the problem of “frequency ambiguity.” The experimental results demonstrate and validate that the proposed algorithm is effective in the field of human sensing applications of Doppler radar.