Research on the Architecture of Electronic Target Intelligent Processing System based on Artificial Intelligence

With the massive increase of similar electronic devices, the requirements for the capacity, timeliness and accuracy of electronic target intelligence processing are also getting higher and higher. The defects existing in the existing processing flow are analyzed, based on the intelligent processing technology. The electronic target intelligent processing architecture is proposed, and the main functions, processes and technical performance of the main intelligent processing technologies are analyzed. It is verified that the intelligent processing method based on the deep learning neural network algorithm has better target shape information. Good multi-target detection and recognition ability. At the same time, under the condition of the ground test hardware platform, the detection time of a single frame image is 0.7s, and the average detection and recognition accuracy rate can reach 91.89%.