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A Rapid Evaluation Method of Radar Tracking Accuracy

Published: 01 February 2021 Publication History

Abstract

In order to solve the problem that the accuracy evaluation method based on error grouping is complex and can only be applied to post-processing, a fast judgment analysis method of radar tracking accuracy is proposed. This method decouples the two main processes of accuracy evaluation, namely error estimation and error statistics, and achieves fast analysis of radar tracking accuracy through real-time estimation of local accuracy and fast statistics of average accuracy of whole track. At the same time, this method avoids the discrimination of abnormal errors by applying robust median and median absolute difference estimation, further simplifies the error estimation process, so that it is more suitable for real-time data analysis.

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Zhang Xu, Huang He, Chen Qingliang, et al, Research on robust real-time detection fusion method of multi-source measurement data, in Proceedings of the 27th Chinese Control and Decision Conference, 2015.
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Zhang Xu, Liu Hong, Wang Jiangong, et al, A real-time robust Method of System Error Registration based on the Sorting of doubly linked List, in Proceedings of the 35th Chinese Control Conference, 2016.
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  1. A Rapid Evaluation Method of Radar Tracking Accuracy

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    EITCE '20: Proceedings of the 2020 4th International Conference on Electronic Information Technology and Computer Engineering
    November 2020
    1202 pages
    ISBN:9781450387811
    DOI:10.1145/3443467
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 01 February 2021

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    Author Tags

    1. Accuracy Evaluation
    2. Error Grouping
    3. Radar
    4. Rapid Evaluation
    5. Robust

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    • Research-article
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    EITCE 2020

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    EITCE '20 Paper Acceptance Rate 214 of 441 submissions, 49%;
    Overall Acceptance Rate 508 of 972 submissions, 52%

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