Ego-Vehicle Speed Estimation on Spectral Analysis using Fast Chirp Modulation Radar

Abstract

A method for ego-vehicle speed estimation using a fast chirp modulation (FCM) radar is proposed, which estimates the vehicle speed spectrum using a discrete Fourier transform and tracks the peak of the spectrum to estimate vehicle speed. Because it is applied to the intermediate-frequency signal, it can estimate vehicle speed without detecting objects. The proposed method can estimate low speeds which cannot be measured by wheel speed sensors. The estimated results of experiments using a vehicle were compared with those of in-vehicle sensors, revealing that the method can estimate vehicle speed using an FCM radar with low antenna elements.