Low-altitude small target detection method based on R-D graph and deep neural network
A technology of deep neural network and small target detection, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve problems such as unpredictable probability distribution of electromagnetic wave signals and weak adaptability
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[0060] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments. The following description is only for demonstration and explanation, and does not limit the present invention in any form.
[0061] The general detection steps have been described in detail in the "Summary of the Invention", and the detection process of the present invention is described in detail in conjunction with examples. figure 1 It is a schematic diagram of the overall processing flow.
[0062] Technical scheme of the present invention mainly comprises the steps:
[0063] Step 1, preprocessing the echo signal collected by the radar receiver to obtain the Range-Doppler diagram of the signal;
[0064] 1-1. Convert the one-dimensional discrete echo signal collected by the radar receiver into a two-dimensional matrix form with the pulse repetition period as the division unit, that is, if the one-dimensional discrete echo signal is composed ...
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