摘要
对于要地警戒雷达而言,监视的重点目标为人和车辆。利用多普勒效应和微多普勒特征对人和车辆进行分类,是当前地面目标识别的一个重要发展方向。结合Ku波段雷达的实测数据,首先对回波信号进行高通滤波抑制杂波,随后通过能量求和、门限判别等方法,对目标进行了特征提取,最后利用目标散射强度、距离扩展宽度、速度和步态频率等特征的差异,对人和车辆进行了分类研究。实验结果表明,通过不同属性特征的合理利用,该方法能够较为准确地实现对人和车辆的分类及识别。
The main purpose of the warning radar is the recognition and classification of people and vehicle.Nowadays,it is an important research area to make use of the Doppler and Micro-Doppler effects of people and vehicle in ground target recognition and classification.Based on the measured data of a Ku-band radar,a target recognition and classification method is proposed in this paper.Firstly,the clutter suppression is performed using the high-pass filter.Then the characteristics of the targets can be obtained by the energy summation and the threshold discriminant.Finally,the targets are classified by use of the characteristics difference of scattering intensity,range extension property,speed,and gait frequency between the people and the vehicle.Experiment results show that the proposed method can be well used for people and vehicle recognition and classification.
出处
《雷达科学与技术》
北大核心
2016年第2期127-133,共7页
Radar Science and Technology
基金
国家自然科学基金(No.61271441)
关键词
警戒雷达
要地
微多普勒
特征提取
分类研究
warning radar
strategic point
micro-Doppler
feature extraction
classification
