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本文研究基于一维距离像的高分辨雷达目标识别方法。文中讨论了三种识别方法(频率域RBF神经网络方法、频率域相关滤波器和距离域相关滤波器),并用我国实验ISAR录取的数据比较了这三种方法在不同信噪比下的识别性能。
In this paper, a high-resolution radar target recognition method based on one-dimensional range image is studied. Three identification methods (frequency domain RBF neural network method, frequency domain correlation filter and distance domain correlation filter) are discussed in this paper. The recognition performance of these three methods under different SNRs is compared with the data recorded by our experimental ISAR .