Track Data Split Measure Based on Least Square Algorithm
Xingfu Zhang, Yanbo Li, Lei Liu, Feng Zhao, Jingfeng Song
Available Online August 2016.
- https://doi.org/10.2991/cset-16.2016.38How to use a DOI?
- Data splice, data fitting, least square algorithm
- This paper describes the split measure algorithm about tracks data. In accordance with the needs of the project, the algorithm can be used to measure the two parts, the three parts and the five parts of the data and then combine them together. The algorithm is based on the overlap area of each measurement. And the best stitching position can be obtained by using the least square method. Error analysis of two parts, three parts and five parts measure respectively is carried out. For several measure requirements, Error analysis shows that the theoretical maximum error of the algorithm is less than the actual requirements of the project. Finally, we selected 300 data from a sine wave, and using these 300 data to simulate the 3 meters long track. Then to simulate five measurements, and every two measurements overlap 0.5 meters. Experimental data analysis shows that the algorithm can indeed meet the requirements of practical application.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xingfu Zhang AU - Yanbo Li AU - Lei Liu AU - Feng Zhao AU - Jingfeng Song PY - 2016/08 DA - 2016/08 TI - Track Data Split Measure Based on Least Square Algorithm BT - 2016 International Conference on Computer Science and Electronic Technology PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/cset-16.2016.38 DO - https://doi.org/10.2991/cset-16.2016.38 ID - Zhang2016/08 ER -