Design of an embedded UWB hardware platform for navigation in GPS denied environments

Hartmann, F.; Pistorius, Felix; Lauber, Andreas; Hildenbrand, Kai; Becker, J.; Stork, Wilhelm

doi:10.1109/scvt.2015.7374232

Cited by 19 publications

(4 citation statements)

References 15 publications

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“…Although the structure of 34 is almost as simple as the proposed, its accuracy is in the decimeter. As for the performances of, 17,33 the performance of the structure and the accuracy are both poor.…”

Section: Methodsmentioning

confidence: 99%

Field scattering localization based on compressed sensing

Tang

Lin

et al. 2021

Int J RF Microw Comput Aided Eng

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In the present study, a regional localization system is proposed based on the variation of the scattering field in ultrawide band (UWB) frequencies. The system uses the UWB antennas to transmit and receive the sweep sparse signal in the measured area. Subsequently, the compressed sensing (CS) algorithm is employed for localization. To increase the positioning accuracy, the randomness of signal distribution should be improved. Different from the previous designs, the scattering obstacles are introduced between the target and the antennas. Through simulation and experiment, a localization system composed of two transmitters and one receiver working at 10–20 GHz is proposed, leveraging the UWB source antennas and grid metal barriers. By complying with the sparse reconstruction algorithm of the CS method, the positioning accuracy of 1.4 mm is obtained in the area of 40 × 40 mm2 at 40 mm distance. The system is capable of locating in small areas effectively based on simple setup, and potentially applied to human‐computer interaction of wearable devices and other local positioning applications.

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Section: Methodsmentioning

confidence: 99%

Field scattering localization based on compressed sensing

Tang

Lin

et al. 2021

Int J RF Microw Comput Aided Eng

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“…Despite TOF's higher energy consumption, it is generally favoured to TDOA, which has anchor synchronisation via a timing cable as prerequisite. Building on advancements in transceiver design, low-level communication protocols and propagation models [14]- [16], UWB research has/is mainly focussed on both autocalibration [17], and improving the ranging and localisation accuracy by accounting/correcting for range bias and for NLOS contributions.…”

Section: Related Work a Uwb Researchmentioning

confidence: 99%

Experimental Benchmarking of Next-Gen Indoor Positioning Technologies (Unmodulated) Visible Light Positioning and Ultra-Wideband

Bastiaens

Gerwen²,

Macoir³

et al. 2022

IEEE Internet Things J.

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Within the context of Internet of Things (IoT), many applications require high-quality positioning services. As opposed to traditional technologies, the two most recent positioning solutions, Ultra-Wideband (UWB) and (unmodulated) Visible Light Positioning ((u)VLP) are well-endowed to economically supply centimetre to decimetre level accuracy. This manuscript benchmarks the 2D positioning performance of an 8-anchor asymmetric double-sided two-way ranging (aSDS-TWR) UWB system and a 15-LED frequency-division multiple access (FDMA) received signal strength (RSS) (u)VLP system in terms of feasibility and accuracy. With extensive experimental data, collected at 2 heights in a 8 m by 6 m open zone equipped with a precise ground truth system, it is demonstrated that both VLP and UWB already attain median and 90 th percentile positioning errors in the order of 5 cm and 10 cm in line-of-sight (LOS) conditions. An approximately 20 cm median accuracy can be obtained with uVLP, whose main benefit is it being infrastructureless and thus very inexpensive. The accuracy degradation effects of non-line-ofsight (NLOS) on UWB/(u)VLP are highlighted with 4 scenarios, each consisting of a different configuration of metallic closets. For the considered setup, in 2D and with minimal tilt of the object to be tracked, VLP outscores UWB in NLOS conditions, while for LOS scenarios similar results are obtained.

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“…The latter usually carries out the major “intelligence” work [ 15 ]. The measuring unit of the UWB makes use of Time of Flight (TOF), and its large bandwidths enable high precision measurement [ 16 ]. An obvious difference between a conventional wireless network and a UWB is that the former transmits information by varying the power level, frequency, or phase; the latter transmits information by generating radio energy at specific time intervals and occupying a large bandwidth, thus enabling the positioning service.…”

Section: Related Work On Heterogeneous Sensing Systemsmentioning

confidence: 99%

A Heterogeneous Sensing System-Based Method for Unmanned Aerial Vehicle Indoor Positioning

Wang

Liang

et al. 2017

Sensors

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The indoor environment has brought new challenges for micro Unmanned Aerial Vehicles (UAVs) in terms of their being able to execute tasks with high positioning accuracy. Conventional positioning methods based on GPS are unreliable, although certain circumstances of limited space make it possible to apply new technologies. In this paper, we propose a novel indoor self-positioning system of UAV based on a heterogeneous sensing system, which integrates data from a structured light scanner, ultra-wideband (UWB), and an inertial navigation system (INS). We made the structured light scanner, which is composed of a low-cost structured light and camera, ourselves to improve the positioning accuracy at a specified area. We applied adaptive Kalman filtering to fuse the data from the INS and UWB while the vehicle was moving, as well as Gauss filtering to fuse the data from the UWB and the structured light scanner in a hovering state. The results of our simulations and experiments demonstrate that the proposed strategy significantly improves positioning accuracy in motion and also in the hovering state, as compared to using a single sensor.

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Design of an embedded UWB hardware platform for navigation in GPS denied environments

Cited by 19 publications

References 15 publications

Field scattering localization based on compressed sensing

Field scattering localization based on compressed sensing

Experimental Benchmarking of Next-Gen Indoor Positioning Technologies (Unmodulated) Visible Light Positioning and Ultra-Wideband

A Heterogeneous Sensing System-Based Method for Unmanned Aerial Vehicle Indoor Positioning

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