Radar moving target multi-frame joint detection method based on graph space-time network

The invention discloses a radar moving target multi-frame joint detection method based on a graph space-time network. The method mainly solves the problem that in the prior art, the false alarm rate of moving target detection of a single-channel system is high. According to the scheme, the method comprises the steps of obtaining a sub-aperture distance Doppler spectrum; constructing a sub-residualnetwork and a sub-graph space-time network, and forming a neural network model for moving target detection by using the sub-residual network and the sub-graph space-time network; performing regionaltarget detection by using the sub residual network, outputting a preliminary detection probability graph, and calculating cross entropy loss; performing spatial-temporal feature extraction and fusionby using a sub-graph spatial-temporal network, outputting a final detection probability graph of an intermediate frame moving target, and calculating a mean square error; and taking the sum of the cross entropy loss and the mea