Research on High Quality Information Data Detection Technology in Complex Environments Based on Fractional Calculus

Abstract

Information data are inevitably affected by factors in engineering practice such as equipment performance, working environment. resulting in unpredictable measurement errors. This article studies the theory of fractional calculus and concludes that fractional differential operators have the dual advantages of reducing the differences between information data and improving signal strength. They can improve the accuracy of information data by reducing the differences between information data and enhancing the anti-interference ability of signals during transmission by increasing information strength. Established an information data fusion model based on fractional order differentiation (FOD) algorithm, which can improve the accuracy of information data; A signal strength calculation model based on FOD algorithm has been established, which can enhance the signal strength of detection information. By combining the information data fusion model with the signal strength calculation model, the detection function of high-quality information data is achieved.