摘要
汽车超宽带数字钥匙定位方法大多采用最小二乘法,该方法在解算过程中会出现奇异矩阵,导致模型失效,进而造成定位精度严重下降。本文提出采用列文伯格-马夸尔特模型解决最小二乘模型的病态问题,并构建泰勒级数模型进一步提升定位精度。结果表明,该融合算法能够极大增强钥匙定位系统的准确性及鲁棒性,且单次迭代时间满足实时性要求。
Aiming at the problem that most of the vehicle ultra-wideband digital key positioning methods use the least square method,but the singular matrix will appear in the solution process,which will lead to the failure of the model and the serious decline of the positioning accuracy.This paper applies a Levenberg-Marquardt model to solve the ill-conditioned problem of the least squares model and establishes a Taylor series model to improve positioning accuracy further.The results show that this fusion algorithm can greatly enhance the accuracy and robustness of the key positioning system,and the single iteration time meets the real-time requirements.
作者
王朝阳
李辉
WANG Chaoyang;LI Hui(Henan Tianhai Electric Appliance Co.,Ltd.,Hebi 458031,China)
出处
《客车技术与研究》
2025年第4期7-14,23,共9页
Bus & Coach Technology and Research
关键词
多算法融合
汽车UWB数字钥匙
定位方法
multi-algorithm fusion
vehicle UWB digital key
positioning method
