دورية أكاديمية

The Analysis and Verification of Unbiased Estimator for Multilateral Positioning

التفاصيل البيبلوغرافية
العنوان: The Analysis and Verification of Unbiased Estimator for Multilateral Positioning
المؤلفون: Yang Yang, Shihao Sun, Ao Chen, Siyang You, Yuqi Shen, Zhijun Li, Dayang Sun
المصدر: Signals, Vol 3, Iss 3, Pp 497-505 (2022)
بيانات النشر: MDPI AG, 2022.
سنة النشر: 2022
المجموعة: LCC:Applied mathematics. Quantitative methods
مصطلحات موضوعية: multilateral posifigtioning method, unbiased multilateral positioning method, Applied mathematics. Quantitative methods, T57-57.97
الوصف: The ranging error model is generally very complicated in actual ranging technologies. This paper gives an analysis of the biased distance substitution and proposes an unbiased multilateral positioning method to revise the biased substitution, making it an unbiased estimate of the squared distance. An unbiased estimate of the multilateral positioning formula is derived to solve the target node coordinates. Through simulation experiments, it is proved that the algorithm can improve the positioning accuracy, and the improvement is more obvious when the error variance is larger. Experiments using SX1280 also show that the ranging conforms to the biased error model, and the accuracy can be improved by using the unbiased estimator. When the actual experimental error standard deviation is 0.16 m, the accuracy can be improved by 0.15 m.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2624-6120
06536638
Relation: https://www.mdpi.com/2624-6120/3/3/29; https://doaj.org/toc/2624-6120
DOI: 10.3390/signals3030029
URL الوصول: https://doaj.org/article/4b2974ed17a44540b6d0653663820a37
رقم الأكسشن: edsdoj.4b2974ed17a44540b6d0653663820a37
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:26246120
06536638
DOI:10.3390/signals3030029