- 期刊
Indoor Three-dimensional Positioning Technology Optimized by Kalman Filter
摘要
With the use of ultra-wideband technology by technology companies like Apple, this technology has gradually entered our lives. At present, the application of Ultra Wide-Band (UWB) technology mostly stays in two-dimensional plane positioning, and its use in three-dimensional space is limited. In this paper, a three-dimensional positioning model using UWB is designed, the causes of errors are analyzed, and Kalman filter is used to optimize the distance between base station tags. Clock synchronization for optimized positioning accuracy.
參考文獻
Javier San Martín et al. (2020). Precise Positioning of Autonomous Vehicles Combining UWB Ranging Estimations with On-Board Sensors. Electronics, 9(8).
Shi Qin et al. (2019). Anchor self-localization algorithm based on UWB ranging and inertial measurements. Tsinghua Science and Technology, 24(6), pp. 728-737.
Hamza Hanan Ekhlas K. et al. (2019). Accurate Localization System using UWB Technology. Journal of Engineering and Applied Sciences, 14(8), pp. 10216-10225.
Le Trung Kien and Ho K. C.. (2020). Algebraic Complete Solution for Joint Source and Sensor Localization Using Time of Flight Measurements. IEEE Transactions on Signal Processing, 68pp. 1853-1869.
Sophiya Susan S and Siva S Yellampalli. (2019). UWB System:. International Journal of Recent Technology and Engineering (IJRTE), 7(Special Issue), pp. 65-68. J. Liu, E.L. Chen and Z.T. He: Journal of Shi Jia Zhuang Railway Institute (Natural Science), Vol. 22 (2009) No. 4, p.40-42.
延伸閱讀
- Lian, L. (2007). Haptic rendering of three-dimensional heterogeneous features [doctoral dissertation, The University of Hong Kong]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0029-1812201200013982
- Chen, D., & Xu, L. (2014). Optimal Kalman Filtering for a Class of State Delay Systems with Randomly Multiple Sensor Delays. Abstract and Applied Analysis, 2014(), 931-940-1198. https://doi.org/10.1155/2014/716716
- Shiau, J. K., & Wang, I. C. (2013). Unscented Kalman Filtering for Attitude Determination Using MEMS Sensors. 淡江理工學刊, 16(2), 165-176. https://doi.org/10.6180/jase.2013.16.2.08
- Ren, H. B., Chen, S. Z., Liu, G., & Zheng, K. F. (2014). Vehicle State Information Estimation with the Unscented Kalman Filter. Advances in Mechanical Engineering, 2014(), 271-281. https://doi.org/10.1155/2014/589397
- Wang, M. Y. (2013). SLAM Combining Extended Kalman Filter and Scan Matching for Robot Navigation [master's thesis, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-2511201310185143