一种基于前向散射雷达的车辆目标自动识别方法
摘要
An automatic vehicle classification method based on forward scattering radar is proposed. The connections between the power spectrum with the silhouette and the speed of the target are analyzed. The power spectrum of several types of cars is preprocessed using a novel main lobe alignment approach, and then analyzed using the PCA method. The classification performance of the K-nearest neighbor and Bayes classifiers are compared on the feature extracted from the power spectrum using multiple linear regression. Experiment results demonstrated that the proposed method improves the classification performance significantly.
引用本文（GB/T 7714）
Cheng HU, XinLiang CHEN, Tao Zeng. 一种基于前向散射雷达的车辆目标自动识别方法[J]. Scientia Sinica Informationis, 2012.
引文网络
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