A novel modified Kock–Snowflake fractal MIMO antenna for 4G/5G UWB communication gadgets

Sohi, Arashpreet K.; Kaur, Amanpreet

doi:10.1002/mop.33479

Cited by 3 publications

(1 citation statement)

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“…However, the fire rescue is random in time, and the UWB system also holds the promising property of immunity to weather factors like fog, rain, or clutter. Reference [4] from the application perspective, UWB has been used in various aspects, such as vehicle pose estimation on construction sites [5], power interactive spatial augmented reality systems [6], and coal mine localization [7]. The IEEE 802.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Three-Dimensional UWB Real-Time Locating Auto-Positioning System for Fire Rescue

Yang,

Li,

Pedrycz

2023

Intelligent Automation &Amp; Soft Computing

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Fire rescue challenges and solutions have evolved from straightforward plane rescue to encompass 3D space due to the rise of high-rise city buildings. Hence, this study facilitates a system with quick and simplified onsite launching and generates real-time location data, enabling fire rescuers to arrive at the intended spot faster and correctly for effective and precise rescue. Auto-positioning with step-by-step instructions is proposed when launching the locating system, while no extra measuring instrument like Total Station (TS) is needed. Real-time location tracking is provided via a 3D space real-time locating system (RTLS) constructed using Ultra-wide Bandwidth technology (UWB), which requires electromagnetic waves to pass through concrete walls. A hybrid weighted least squares with a time difference of arrival (WLS/TDOA) positioning method is proposed to address real path-tracking issues in 3D space and to meet RTLS requirements for quick computing in real-world applications. The 3D WLS/TDOA algorithm is theoretically constructed with the Cramer-Rao lower bound (CRLB). The computing complexity is reduced to the lower bound for embedded hardware to directly compute the time differential of the arriving signals using the time-to-digital converter (TDC). The results of the experiments show that the errors are controlled when the positioning algorithm is applied in various complicated situations to fulfill the requirements of engineering applications. The statistical analysis of the data reveals that the proposed UWB RTLS auto-positioning system can track target tags with an accuracy of 0.20 m.

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