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中文摘要：
轮式履带式车辆目标分类是低分辨雷达地面目标识别研究领域的一个难点。该文基于微多普勒效应原理建立了轮式履带式车辆的雷达回波模型,针对轮式履带式车辆微多普勒调制的不同,提出了一种基于CLEAN算法的特征提取方法,提取了一种描述目标多普勒谱能量分布的能量比特征。基于实测数据使用相关向量机（RVM）和支持向量机（SVM）的识别结果表明该特征具有较好的识别性能,同时对目标速度具有稳健性。
英文摘要：
Classification of track vehicle and wheel vehicle by using low-resolution radar echo is a challenging problem in radar ground target automatic classification community. This paper establishes an echo signal model for track vehicle and wheel vehicle based on micro-doppler effect. According to the echo signal model, a new feature extraction method is proposed by using the CLEAN algorithm. The feature reveals the energy distribution of the target doppler spectrum. The measured data results based on Relevance Vector Machine （RVM） and Support Vector Machine （SVM） show the proposed feature can not only achieve good classification performance, but also be robust to the target velocity.
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同项目期刊论文
Noise Robust Radar HRRP Target Recognition Based on Multitask Factor Analysis With Small Training Da
Target statistical correlation characteristic for spatial-frequency jointly diversity multiple-input
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