Abstract
To tackle challenges such as interference and poor accuracy of indoor positioning systems, a novel scheme based on ultra-wide bandwidth (UWB) technology is proposed. First, we illustrate a distance measuring method between two UWB devices. Then, a Taylor series expansion algorithm is developed to detect coordinates of the mobile node using the location of anchor nodes and the distance between them. Simulation results show that the observation error under our strategy is within 15 cm, which is superior to existing algorithms. The final experimental data in the hardware system mainly composed of STM32 and DW1000 also confirms the performance of the proposed scheme.
Highlights
The development of wireless communication technology has a deep impact on everyday life, and further attention is being paid to service-based positioning [1]
In 2002, the Federal Communications Commission (FCC) defined ultra-wide bandwidth (UWB) as follows: The relative bandwidth of the signal is greater than 20% or the absolute bandwidth is greater than 50 MHz
There are multiple methods used for indoor positioning, such as Received Signal Strength Indication (RSSI), Angle of Arrival (AOA), Time of Arrival (TOA), and
Summary
The development of wireless communication technology has a deep impact on everyday life, and further attention is being paid to service-based positioning [1]. There are many indoor wireless communication methods used, each with their own advantages and disadvantages. These include Wi-Fi, Bluetooth, infrared, ultrasonic, and radio frequency identification [2]. Indoor positioning technology is in the early stages of development, it has attracted the attention of many researchers. As ultra-wide bandwidth (UWB) has both these advantages, this research proposes an indoor positioning system based on this technology. The proposed scheme adopts an improved positioning algorithm, with low complexity and high precision
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