Radar high-resolution range profile target recognition method based on state space model
A high-resolution range image and state space model technology, applied in the field of target recognition, can solve the problems of high cost of high-resolution range images, low learning accuracy of recognition system parameters, difficulty in obtaining high-resolution range image samples, etc., and meet the training sample requirements. The effect of small volume and high recognition performance
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[0017] refer to figure 1 , the specific implementation steps of the present invention are as follows:
[0018] Step 1. Extract the normalized spectrum magnitude signal from the high-resolution range image training samples as the identification features of the training samples.
[0019] 1.1) Perform Fourier transform on the high-resolution range image training sample to obtain the frequency domain signal of the training sample. In order to overcome the initial sensitivity of the frequency domain signal of the training sample, perform a modulo operation on the frequency domain signal of the training sample to obtain the training Spectrum magnitude signal y of the sample = [y 1 ,y 2 ,...,y d ], where y f is the fth element of the training sample spectrum magnitude signal y, f=1, 2,..., d, d represents the dimension of the training sample spectrum magnitude signal y;
[0020] 1.2) Normalize the spectral magnitude signal y of the training sample: z=y / ||y|| 2 , to overcome the...
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