Radar high-resolution range image target recognition method based on one-dimensional convolutional neural network
A technology of convolutional neural network and high-resolution range image, which is applied in the field of radar, can solve the problem of low target recognition accuracy and achieve the effects of improved recognition rate, high target recognition rate and strong robustness
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[0022] refer to figure 1 , is a flow chart of a method for recognizing a radar high-resolution range image target based on a one-dimensional convolutional neural network of the present invention; wherein the method for recognizing a radar high-resolution range image target based on a one-dimensional convolutional neural network includes the following steps:
[0023] Step 1, determine Q different radars, there are targets within the detection range of the Q different radars, and obtain the high-resolution radar echoes of the Q different radars, and then obtain Q from the high-resolution radar echoes of the Q different radars. Class high-resolution range imaging data, which are sequentially recorded as the first type high-resolution range imaging data, the second type high-resolution range imaging data, ..., the Q-th type high-resolution range imaging data, and each radar corresponds to a class of high-resolution range imaging data data, and the Q-type high-resolution imaging da...
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