Multi-channel radar target micro-motion feature classification method based on EfficientNet
To solve the problem on low classification accuracy caused by the difficulty of extracting features of micro-motion targets,such as pedestrians,vehicles,and drones in low-altitude radar monitoring scenarios,a multi-channel radar target micro-motion feature classification method based on EfficientNet is proposed.Firstly,a multi-energy singular value decomposition method is proposed to suppress clutter and noise,and enhance the micro-motion characteristics of the target based on the energy distribution differences between the clutter,target,and noise signals.Secondly,the multi-channel EfficientNet model is designed to combine time-frequency information features in radar sum and difference channels,and further fuse multi-channel micro-motion features to achieve accurate target classification.Finally,the effectiveness of the proposed method is verified through experiments using radar measured target data.The results show that compared with other methods,the proposed method significantly improves classification accuracy with low model complexity.
multi-channel radarclassification of micro-motion targetsEfficientNetsingular value decomposition
万方数据
维普
