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Localization of networked nodes is an essential problem in emerging applications, including first-responder navigation, automated manufacturing lines, vehicular and drone navigation, asset tracking, Internet of Things, and 5G communication networks. In this paper, we present Locate3D, a novel system for peer-to-peer node localization and orientation estimation in large networks. Unlike traditional range-only methods, Locate3D introduces angle-of-arrival (AoA) data as an added network topology constraint. The system solves three key challenges: it uses angles to reduce the number of measurements required by 4X and jointly uses range and angle data for location estimation. We develop a spanning-tree approach for fast location updates, and to ensure the output graphs are rigid and uniquely realizable, even in occluded or weakly connected areas. Locate3D cuts down latency by up to 75% without compromising accuracy, surpassing standard range-only solutions. It has a 0.86 meter median localization error for building-scale multi-floor networks (32 nodes, 0 anchors) and 12.09 meters for large-scale networks (100,000 nodes, 15 anchors).
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Target Localization using Bistatic and Multistatic Radar with5GNR Waveform
Abstract—Joint communication an dsensing allows the utiliza- tion of common spectral resources for communication and local- ization, reducing the cost of deployment. By using fifth generation (5G) New Radio (NR)(i.e.,the 3rd Generation Partnership Project Radio Access Network for 5G) reference signals,conventionally used for communication,this paper shows sub-meter precision localization is possible at millimeter wave frequencies.We derive the geometric dilution of precision of a bistatic radar configura- tion, a theoretical metric that characterizes how the target location estimation error varies as a function of the bistatic geometry and measurement errors.We develop a 5GNR compliant software test bench to characterize the measurement errors when estimating the time difference of arrival and angle of arrival with5GNR waveforms.The test bench is further utilized to demonstrate the accuracy of target localization and velocity estimation in several indoor and outdoor bistatic and multistatic configurations and to show that on average,the bistatic cconfiguration can achieve a location accuracy of 10.0 cm over a bistatic range of 25m, which can be further improved by deploying a multistaticradar configuration. Index Terms—5G NR;Bistatic Radar;Multistatic Radar;ge- ometric dilution of precision (GDOP);3GPP;localization;posi- tioning; position location
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- Award ID(s):
- 1909206
- PAR ID:
- 10309433
- Date Published:
- Journal Name:
- IEEE Vehicular Technology Conference
- ISSN:
- 2577-2465
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
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