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.
Sensor Bias Estimation Based on Ridge Least Trimmed Squares
IEEE Transactions on Aerospace and Electronic Systems ; 56 , 2 ; 1645-1651
2020-04-01
713653 byte
Article (Journal)
Electronic Resource
English
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