Affiliation:
1. Wuxi Vocational College of Science and Technology, Wuxi 214028, China
Abstract
A weight least squares algorithm is developed for rational models with outliers in this paper. Different weights are assigned for each cost function, and by calculating the derivatives of these cost functions, the parameter estimates can be estimated. Compared with the traditional least squares algorithm, the proposed algorithm can remove the bad effect caused by the outliers, thus has more accurate parameter estimates. A simulation example is proposed to validate the effectiveness of the proposed algorithm.
Funder
Natural Science Foundation for Colleges and Universities in Jiangsu Province
Subject
Multidisciplinary,General Computer Science