Sensor Bias Estimation Based on Ridge Least Trimmed Squares
Wei Tian, Gaoming Huang, Peng Huafu, Xuebao Wang, Xiaohong Lin · IEEE Transactions on Aerospace and Electronic Systems · 2019
A robust sensor bias estimation approach, named as the ridge least trimmed squares (RLTS), is proposed. Combing the advantages of ridge regression and least trimmed squares, RLTS can solve the sensor bias estimation problem with the presence of misassociations and ill-conditioning. Simulation results verify the effectiveness of the proposed approach.