Ranging based wireless positioning with accurate estimation of bias errors
Khalaf-Allah M, Michler O (2020)
Publication Type: Conference contribution, Original article
Publication year: 2020
Publisher: Institute of Electrical and Electronics Engineers Inc.
Conference Proceedings Title: 2020 European Navigation Conference, ENC 2020
Event location: Dresden
ISBN: 9783944976273
DOI: 10.23919/ENC48637.2020.9317404
Abstract
In this paper, the problem of positioning a tag/receiver using range measurements is addressed. The performance of two linear least-squares estimators in terms of positioning accuracy is considered. To further improve the accuracy, we propose two measures in order to remove measurement noise and outliers, and to reduce measurement bias errors. Noise and outliers are removed by applying a recursive average filter to the measurements. Thus, the remaining errors are mainly systematic, i.e. bias errors. A direct positioning method is then developed to enable estimating the average measurement bias. These two procedures have a positive impact on the positioning accuracy as is demonstrated by the experiment. Filtering has reduced maximum errors by at least 25%. Bias reduction further decreased the mean and maximum errors by at least 66% and 42% respectively.
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How to cite
APA:
Khalaf-Allah, M., & Michler, O. (2020). Ranging based wireless positioning with accurate estimation of bias errors. In Galina Lange (Eds.), 2020 European Navigation Conference, ENC 2020. Dresden, DE: Institute of Electrical and Electronics Engineers Inc..
MLA:
Khalaf-Allah, Mohamed, and Oliver Michler. "Ranging based wireless positioning with accurate estimation of bias errors." Proceedings of the 2020 European Navigation Conference, ENC 2020, Dresden Ed. Galina Lange, Institute of Electrical and Electronics Engineers Inc., 2020.
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