Infrared target radiation characteristic simulation model checking verifying method based on small subsamples

Abstract

The invention discloses an infrared target radiation characteristic simulation model checking verifying method based on small subsamples. The infrared target radiation characteristic simulation model checking verifying method comprises steps that infrared radiation images of an actual target in different states are acquired, and infrared radiation luminance data is read; under the same condition, a simulation model is operated, and the infrared radiation luminance data is output; actual data and analog data are respectively counted to form a radiation luminance histogram; a representative radiation luminance interval is selected in the histogram, and a radiation luminance distribution number in the interval is counted; by adopting a rank-sum test method, a rank-sum test statistic amount is calculated, and whether the actual data and the analog data belong to a same sample is determined. The simple and effective method is provided for the simulation model verification under a condition of few actual measurement samples, and the infrared target radiation characteristic simulation model checking verifying method is widely used for the checking and the verifying of target or environmental electromagnetic radiation simulation models.

Description

technical field [0001] The invention relates to the field of modeling and simulation, in particular to a simple and effective method for checking and verifying a simulation model under the condition of only a small number of samples. Background technique [0002] Simulation model checking and verification is a work carried out to ensure the validity of the simulation model. The process of model verification is to determine the degree to which the simulation model is close to the simulation object. The current simulation is model-driven, and whether the model is valid or not directly determines whether the simulation is credible. [0003] There are generally two types of simulation model verification methods: qualitative and quantitative. Qualitative methods typically include the Turing test method, graphic comparison method, etc., which mainly judge the effectiveness of the simulation model subjectively based on the experience of experts. Quantitative methods usually use t...

AI Technical Summary

Problems solved by technology

[0004] The qualitative verification of the simulation model is easy to operate and low in cost, but the qualitative method relies on the subjective judgment of expert experience, and it is difficult to guarantee the degree of confidence

Quantitative verification is based on the real system as a reference, and the confidence is guaranteed, but the cost is high, the verification process is complicated, and the efficiency is low

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