Research on Modeling and Inversion of Human Skin Tissue Based on Multi-band Microwave Radiometer

Abstract

In order to meet the requirements of accurate measurement and real-time monitoring of human internal temperature, this paper proposes to use multi-band microwave radiometer to measure human internal temperature. According to the nonlinear correspondence between the skin depth of human skin and the working frequency of microwave temperature measurement, three frequency bands are designed to measure the actual temperature distribution of human multilayer skin tissue, and then a three-layer microwave radiation forward transfer model is established. This paper also studies the inversion method of the model. For the problem that BP neural network is easy to fall into local optimization and slow convergence speed, this paper uses particle swarm optimization (PSO) and Levenberg Marquardt (LM) to optimize it. The internal temperature distribution of the human body obtained by PSO-LM-BP is close to the theoretical values, which verifies the correctness of the inversion method.