Research on the Infrared Point Targets Recognition Method Based on Model

摘要

Infrared point source target recognition is the target recognition technology based on non-imaging time-domainsignal characteristics of infrared detectors for small size or long distance targets. It has wide application prospects inmany fields, such as industry and national defense. However, infrared point source targets recognition has become arecognized problem, because this kind of targets has less information and more interference factors. Therefore, theresearch on infrared point source target recognition has important theoretical and practical value. This paper proposed amathematical construction method of infrared point source target signal .And through the modeling of sensor responseand the verification of hardware-in-the-loop simulation experiment, a set of time-domain signal data for infrared pointsource target recognition method is generated. Then, by extracting several time–domain features, a nearest neighborclassification method based on feature weighting is proposed by combining the idea of mathematical model matching. Atthe same time, the influence of the uncertainty of the model itself on the recognition effect is considered. The resultshows, using the sample data of point source target generated by simulation, the best recognition time of proposedmethods is approximately 6-8 seconds, and the recognition accuracy rate is 64.6%-79.2%.