Development of the Digital Health Literacy Instrument: Measuring a Broad Spectrum

Abstract

The current signal capture algorithm uses the correlation function of the signal to achieve capture, which not only has high processing complexity, but also leads to low synchronous capture accuracy. In order to improve the adaptability of the binary offset carrier signal capture algorithm and to improve the defects of the traditional capture algorithm, the spectrum correction-based binary offset carrier signal capture algorithm will be studied. Based on the established binary offset carrier signal model, the signal tracking capture loop is designed. After the spectral correction processing of the signal, the judgment loop is designed based on the bandwidth folding principle to realize the signal capture. The simulation experiments show that the average capture rate of the studied signal capture algorithm is 95.63%, and the main peak amplitude of the captured signal is higher and the capture effect is better.