摘要
将小波变换和马氏距离相结合,提出了一种基于ISAR成像的雷达目标特征提取方法。对ISAR成像数据进行正交二进Symlet小波分解和门限处理,对数据进行压缩,然后计算压缩后坐标点的马氏(Mahalanobis)距离,得到目标稳定的特征向量。由实验结果看出,此向量具有在一定范围内的不变性,能够用于雷达目标识别。
In this paper, by combining wavelet transform and Mahalanobis range, a feature extraction method of radar target using ISAR Imaging is presented. By processing ISAR imaging data using wavelet transform, giving a threshold, compressing data, and computing the Mahalanobis range of the data, the target feature series is obtained. The experimental result proves that the series is robustly invariant and can be used to identify radar target.
出处
《电子与信息学报》
EI
CSCD
北大核心
2002年第12期1994-1997,共4页
Journal of Electronics & Information Technology
基金
国家部级基金
