Improving Accuracy of MCPD Distance Measurements

Abstract

The distance measurements obtained with Multi-Carrier Phase Difference algorithms exhibit a bias in the estimated values. This work aims to explore ways to reduce the effects of the bias in the measurements. Initially, an overview of different positioning techniques and previous findings with MCPD algorithms is presented. Next, a comprehensive bias model is developed to enhance the understanding of the underlying problem. Subsequently, the establishment of a network setup allows the collection of the necessary data to estimate the value of the bias. A special configuration of the devices is necessary to perform network measurements. A regression analysis to approximate the bias value is done using the Least Squares approach with the data collected by the measuring network. By incorporating the estimated bias into distance measurements, improvements in accuracy are tested by the values of the Mean Average Error and Mean Bias Error on the dataset.