Publications

Abstract : Ultra-wideband (UWB) localization systems have gained wide attention in precise indoor positioning applications, due to the usage of high bandwidth signals. We propose a modified leading edge detection algorithm for estimating the time of arrival (TOA) of the received UWB signal. The proposed method performs well even under low signal-to-noise ratio (SNR) conditions. We simulate a UWB localization system using the proposed algorithm and evaluate its performance under additive white Gaussian noise (AWGN). We study the influence of tuning parameters of the proposed algorithm on the positioning accuracy. We evaluate 1D and 2D positioning accuracies of the localization system using the optimal tuning parameters of the proposed algorithm. We further evaluate the performance of the proposed algorithm in multipath conditions. Simulation results show that the proposed algorithm provides enhanced positioning accuracy compared to the previously published methods including the state-of-the-art methods. We improve the positioning accuracy of the localization system further by deploying more base stations.