火力与指挥控制2016，Vol.41Issue(10)：15-20,6.
基于动态时间规整算法的车辆目标分类研究
Study on Classification of Ground Vehicles Based on Dynamic Time Warping
摘要
Abstract
In this paper, dynamic time warping (DTW) is utilized to the classification and recognition of ground vehicles. Radar returned echo model of wheeled vehicles and tracked vehicles is established based on micro-Doppler effect. The distinctions between the micro-Doppler signals of these two kinds of vehicles are analyzed. In addition,the correctness of the theoretical analysis is verified by the measured data. On the basis of clutter suppression and velocity normalization, taking the parameters of cumulative distances as a characteristic, the classification of wheeled vehicles and tracked vehicles is achieved. Experiment results based on the measured data show the proposed methods simultaneously achieves good classification performance under different SNR conditions.关键词
微多普勒/动态时间规整/车辆目标/分类识别Key words
micro-doppler/dynamic time warping/vehicle target/classification and recognition分类
信息技术与安全科学引用本文复制引用
丁帅帅,张群,张亮,孙璐..基于动态时间规整算法的车辆目标分类研究[J].火力与指挥控制,2016,41(10):15-20,6.基金项目
国家自然科学基金资助项目(61471386） （）
