This paper discusses a method to improve the resolution of microwave biomedical sensors. Usually, the frequency response of these devices is relatively wide as compared to its ideal shape. Furthermore, only a finite number of its samples can be acquired in the measurement stage. Accordingly, to have an accurate estimate of the resonance frequency, high performance systems with high sensitivity are required. Thereafter, in order to overcome these drawbacks, an iterative algorithm is presented which aims at sharpening the microwave sensors response. The algorithm assessment is performed on measured data referred to a real scenario, which is inherent to return loss measurements of a microwave patch antenna submerged in a water-glucose solution with various glucose concentration levels.
An Iterative Algorithm Enhancing the Resolution of Microwave Resonant Sensors for Biomedical Applications
Brancaccio A.;Solimene R.
2022
Abstract
This paper discusses a method to improve the resolution of microwave biomedical sensors. Usually, the frequency response of these devices is relatively wide as compared to its ideal shape. Furthermore, only a finite number of its samples can be acquired in the measurement stage. Accordingly, to have an accurate estimate of the resonance frequency, high performance systems with high sensitivity are required. Thereafter, in order to overcome these drawbacks, an iterative algorithm is presented which aims at sharpening the microwave sensors response. The algorithm assessment is performed on measured data referred to a real scenario, which is inherent to return loss measurements of a microwave patch antenna submerged in a water-glucose solution with various glucose concentration levels.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
