TOA estimation algorithm based on noncoherent detection in IR-UWB system

Abstract

In impulse radio-ultra wideband (IR-UWB) indoor positioning algorithm, ranging accuracy has always been the focus of the research. A threshold comparison (TC) algorithm based on the mean to minimum energy sample ratio (MMR) is proposed which dynamically set the normalization threshold based on the non-coherent detection energy sampling sequence. The new normalization threshold is defined, the corresponding function between MMR and the optimal normalization threshold is observed and the mathematical function model is established. According to a single sample value of the MMR, the energy block sequence number of the direct path (DP) is captured to realize the time estimation of arrival (TOA). The simulation results show that, compared with the classical TOA estimation algorithms, the MMR-TC algorithm has the best accuracy in all signal-to-noise ratio range under CM1 channel, and has the smallest error in CM2 channel.