2021IEEE Communications LettersRequires access

A Low-Cost NLOS Identification and Mitigation Method for UWB Ranging in Static and Dynamic Environments

Mengyao Dong

Open publisher page 58 citations

Abstract

This letter proposes a low-cost non-line-of-sight (NLOS) identification and mitigation technique for ultra-wideband (UWB) ranging in both static and dynamic environments. Unlike conventional ranging that employs one mobile tag and a single fixed anchor at a known location, this technique utilizes two anchors and one tag. By utilizing Fresnel zones, this approach is effective in variable environments without requiring large quantities of prior knowledge. The proposed method was evaluated using simulations and experiments, achieving an identification accuracy of 96.41%. After error mitigation, ranging errors were reduced by 88.80%, 69.91%, and 96.12% in line-of-sight (LOS), NLOS, and dynamic NLOS environments, respectively.

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What this paper is about

This letter proposes a low-cost non-line-of-sight (NLOS) identification and mitigation technique for ultra-wideband (UWB) ranging in both static and dynamic environments. Unlike conventional ranging that employs one mobile tag and a single fixed anchor at a known location, this technique utilizes two anchors and one tag. By utilizing Fresnel zones, this approach is effective in variable environments without requiring large quantities of prior knowledge. The proposed method was evaluated using simulations and experiments, achieving an identification accuracy of 96.41%. After error mitigation, ranging errors were reduced by 88.80%, 69.91%, and 96.12% in line-of-sight (LOS), NLOS, and dynamic NLOS environments, respectively.

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Available abstract

This letter proposes a low-cost non-line-of-sight (NLOS) identification and mitigation technique for ultra-wideband (UWB) ranging in both static and dynamic environments. Unlike conventional ranging that employs one mobile tag and a single fixed anchor at a known location, this technique utilizes two anchors and one tag. By utilizing Fresnel zones, this approach is effective in variable environments without requiring large quantities of prior knowledge. The proposed method was evaluated using simulations and experiments, achieving an identification accuracy of 96.41%. After error mitigation, ranging errors were reduced by 88.80%, 69.91%, and 96.12% in line-of-sight (LOS), NLOS, and dynamic NLOS environments, respectively.

Key concepts: Non-line-of-sight propagation, Ranging, Computer science, Identification (biology), Ultra-wideband, Real-time computing, Telecommunications, Wireless

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