Résumé
Least-Square Closed-Form Solution: This method, used by Yang et al. [10], is computationally efficient but may not achieve high accuracy under challenging conditions. * CHAN Algorithm: Presented by Li and Luan [7], this approach improves accuracy but is still insufficient for high levels of noise or non-line-of-sight conditions.
* Taylor Algorithm: A more accurate but computationally intensive method, described by Zhou and Cheng [3], which iteratively refines position estimates.
* Second-Order Taylor Method: To address computational costs, this approach, proposed by Guo et al. [11] and Huang et al.
[6], optimizes the Taylor algorithm for better efficiency without compromising precision.
It is important to note that despite its success in other fields, UWB has yet to be applied for cloth kite deformation.
By taking examples of algorithms and UWB in litterature, this .