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.


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    Title :

    Sensor Bias Estimation Based on Ridge Least Trimmed Squares


    Contributors:
    Tian, Wei (author) / Huang, Gaoming (author) / Peng, Huafu (author) / Wang, Xuebao (author) / Lin, Xiaohong (author)


    Publication date :

    2020-04-01


    Size :

    713653 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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