NDLI: Spatial Multi-Source Information Fusion Localization Algorithm in Non-Line-of-Sight Environments.

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Spatial Multi-Source Information Fusion Localization Algorithm in Non-Line-of-Sight Environments.

Content Provider	Europe PMC
Author	Wang, Jianhui Li, Jingjing Cui, Weijia Liu, Qing
Editor	Lohan, Elena Simona
Copyright Year	2023
Abstract	In this paper, a high-accuracy localization problem under a complex non-line-of-sight (NLOS) condition is addressed by a new method that utilizes multiple NLOS paths to improve localization accuracy, as opposed to the traditional method of suppressing them. The spatial multi-path array fusion localization model is presented and analyzed, followed by an angle-of-arrival (AOA) and time-of-arrival (TOA) algorithm based on spatial multi-information fusion that seeks to improve localization accuracy. Multi-path of spatial signals, measurement of the multi-element antenna, and geographic environment information are integrated into the proposed method for localization optimization. Simulation experiments were carried out, and the results revealed that the proposed algorithm is capable of making full use of spatial multi-location information for localization, thus improving the accuracy of localization in a the NLOS environment effectively and increasing the locatable probability of complex environment localization applications.
Journal	Sensors (Basel, Switzerland)
Volume Number	23
DOI	10.3390/s23073482
PubMed Central reference number	PMC10098891
Issue Number	7
PubMed reference number	37050542
e-ISSN	14248220
Language	English
Publisher	Molecular Diversity Preservation International (MDPI)
Publisher Date	2023-03-27
Access Restriction	Open
Subject Keyword	wireless localization non-line-of-sight (NLOS) information fusion propagation path localization accuracy
Content Type	Text
Resource Type	Article
Subject	Biochemistry Instrumentation Information Systems Medicine Analytical Chemistry Atomic and Molecular Physics, and Optics Electrical and Electronic Engineering

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