Accurate Joint Estimation of Position and Orientation Based on Angle of Arrival and Two-Way Ranging of Ultra-Wideband Technology

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Wydane w:Electronics vol. 14, no. 3 (2025), p. 429
1. autor: Zhang, Di
Kolejni autorzy: Xu, Hongbiao, Li, Zhan, Li, Ye, Yin, Guangqiang, Wang, Xinzhong
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MDPI AG
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024 7 |a 10.3390/electronics14030429  |2 doi 
035 |a 3165772364 
045 2 |b d20250101  |b d20251231 
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100 1 |a Zhang, Di  |u Institute of Information Technology, Shenzhen Institute of Information Technology, Shenzhen 518000, China; <email>wangxz@sziit.edu.cn</email>; School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China; <email>202411090932@std.uestc.edu.cn</email> (L.Z.); <email>liyeuestc@uestc.edu.cn</email> (Y.L.) 
245 1 |a Accurate Joint Estimation of Position and Orientation Based on Angle of Arrival and Two-Way Ranging of Ultra-Wideband Technology 
260 |b MDPI AG  |c 2025 
513 |a Journal Article 
520 3 |a In wireless sensor networks (WSNs), ultra-wideband (UWB) technology is essential for robot localization systems, especially for methods of the simultaneous estimation of position and orientation. However, current approaches frequently depend on rigid body models, which require multiple base stations and lead to substantial equipment costs. This paper presents a cost-effective UWB SL model utilizing the angle of arrival (AOA) and double-sided two-way ranging (DS-TWR). To improve localization accuracy, we propose a self-localization algorithm based on constrained weighted least squares (SL-CWLS), integrating a weighted matrix derived from a measured noise model. Additionally, we derive the constrained Cramér–Rao lower bound (CCRLB) to analyze the performance of the proposed algorithm. Simulation results indicate that the proposed method achieves high estimation accuracy, while real-world experiments validate the simulation results. 
653 |a Ultrawideband 
653 |a Lower bounds 
653 |a Accuracy 
653 |a Rigid structures 
653 |a Cramer-Rao bounds 
653 |a Position sensing 
653 |a Angle of arrival 
653 |a Wireless sensor networks 
653 |a Robots 
653 |a Algorithms 
653 |a Methods 
653 |a Localization 
653 |a Constraints 
653 |a Equipment costs 
653 |a Robotics 
700 1 |a Xu, Hongbiao  |u Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen 518000, China; <email>202152280111@std.uestc.edu.cn</email> 
700 1 |a Li, Zhan  |u School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China; <email>202411090932@std.uestc.edu.cn</email> (L.Z.); <email>liyeuestc@uestc.edu.cn</email> (Y.L.) 
700 1 |a Li, Ye  |u School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China; <email>202411090932@std.uestc.edu.cn</email> (L.Z.); <email>liyeuestc@uestc.edu.cn</email> (Y.L.) 
700 1 |a Yin, Guangqiang  |u School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China; <email>202411090932@std.uestc.edu.cn</email> (L.Z.); <email>liyeuestc@uestc.edu.cn</email> (Y.L.); Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China, Shenzhen 518000, China; <email>202152280111@std.uestc.edu.cn</email> 
700 1 |a Wang, Xinzhong  |u Institute of Information Technology, Shenzhen Institute of Information Technology, Shenzhen 518000, China; <email>wangxz@sziit.edu.cn</email> 
773 0 |t Electronics  |g vol. 14, no. 3 (2025), p. 429 
786 0 |d ProQuest  |t Advanced Technologies & Aerospace Database 
856 4 1 |3 Citation/Abstract  |u https://www.proquest.com/docview/3165772364/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text + Graphics  |u https://www.proquest.com/docview/3165772364/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch 
856 4 0 |3 Full Text - PDF  |u https://www.proquest.com/docview/3165772364/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch