Moving Target Range Walk Removal in 77GHz Traffic Monitoring Radar Based on Keystone Transform

Millimeter wave radar has the advantage of all-day and all-weather capability for detection, speed measurement and identification of moving targets in traffic. It plays an important role in urban traffic flow monitoring and traffic safety monitoring. The conventional three-dimensional fast Fourier transform (3DxFFT) algorithm performs target detection in the range-doppler domain, However, there is a phenomenon of range cell walk in the target motion, which leads to the defocusing of the moving target signal in the range Doppler domain. The energy of defocus signal is reduced, resulting in that some targets unable to be detected, and is not easy to estimate the speed. This paper proposes a vehicle moving target detection algorithm based on Keystone for traffic scenes. Firstly, this paper constructs and analyzes the FMCW moving target signal model. based on this model, an improved vehicle moving target detection algorithm based on keystone transform is proposed. The algorithm is verified by simulation data.