Compared with the charge domain TDI (time delay integration) type image sensor, the surface formation image sensor, using the digital domain TDI technology, has the characteristics of high system integration and flexible use, and has attracted the attention of relevant research fields in recent years. In the digital domain TDI sensor, the signal is accumulated after differential amplification and analog-to-digital conversion. This method does not consider the depth of the charge trap to improve the practicality of the image system. Infrared search and tracking system (IRST) has an important application value in modern war, and the application scope of surface formation sensor in IRST is also gradually expanding. To verify the feasibility and characteristics of digital domain TDI technology in IRST, analyze and test. Through the working principle of the digital domain TDI face array image sensor analysis, complete the TDI algorithm design and simulation, to verify its feasibility. Based on FPGA platform to study the effect of TDI algorithm on image effect of imaging system. The verification results show that the image system based on the digital domain TDI technology can improve the dynamic range of the image, make the image has excellent signal-to-noise ratio, and can flexibly meet different requirements. Experiments show that the image data based on digital domain TDI is transmitted to the back-end system for target detection and other processing, which can achieve higher detection probability and recognition accuracy.
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