Study on Classification of Wheeled and Tracked Vehicles Based on Micro-Doppler Effect and Multilevel Wavelet Decomposition

Classification of moving vehicles within short dwell time is a promising way to the introduction of the target identification function to battlefield surveillance radar system. In this paper, radar returned echoes of moving wheeled and tracked vehicle are analyzed using micro-Doppler effect. According to the distinction between the micro-Doppler signals of these two kinds of vehicles, a wavelet transform based classification method is proposed. In this method, the influence induced by the change of main bulk velocity is alleviated by using multirate signal processing and the distinctions between wheeled and tracked vehicles are well depicted due to the separation of the bulk motion and micro motion components. Experiment results based on the measured data show the proposed method simultaneously achieves good classification performance and robustness to the change of the bulk velocity.