Research on Network Scalability Based on UWB Indoor Localization System

Abstract

Abstract. Network Scalability is an important step in the development of UWB indoor localization system. Owing to its fine resolution and robustness in cluttered environments, UWB signals are well suited for localization purposes as they allow high ranging accuracy. T DOA algorithm based on UWB indoor localization system can achieve highprecision positioning but it requires each anchor clock synchronization. This paper mainly studied the optional of master anchor based on T DOA algorithm. It becomes an effective way to adapt to the complex communication environment. T hen realized the network scalability in multiple anchor conditions and finally evaluated the performance of master anchor optional algorithm on a realistic indoor scenario. A localization error analysis on UWB indoor positioning system was performed. The smallest T DOA measurement error is 15.127 cm and the worst error is 27.230 cm, as was shown by the test results.

UWB localization employing supervised learning method

“…Non-LOS rejection is implemented based on the ratio of the first path compared to the power of the cumulated channel impulse response [10]. UWB has also been presented for a high precision positioning system based on the time difference of arrival (TDOA) algorithm in a cluttered environment [11], assisted living potential and in the areas of energy reduction assistance [12] [13] [14] and [15].…”