Performance evaluation of radar NCTR using the target aspect and signature

Minna Väilä, Juha Jylhä, Henna Perälä, Ari Visa

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    8 Citations (Scopus)

    Abstract

    In this paper, we present a framework for assessing and comparing the performance of non-cooperative target recognition methods that are based on radar signatures. The proposed framework aspires to quantify the performance considering the dynamic nature of the operating conditions. When evaluating the recognition performance, the training data is generated according to the operational scenario which specifies for instance the values for the true aspect angle, at which the target is observed, and the ability to estimate it, e.g. by a radar tracker. The performance of different classifiers can be assessed and compared considering the varying ability to observe the location and the orientation of the target. The proposed framework is demonstrated with the radar cross section as the feature for classification using values on a single frequency and high range resolution profiles. © 2014 IEEE.

    Translated title of the contributionPerformance Evaluation of radar NCTR using the Target Aspect and Signature
    Original languageEnglish
    Title of host publication2014 IEEE Radar Conference from sensing to information, 19-23 May, Cincinnati, OH, USA
    Place of PublicationCincinnati
    PublisherIEEE
    Pages623-628
    Number of pages6
    ISBN (Print)9781479920341
    DOIs
    Publication statusPublished - 2014
    Publication typeA4 Article in conference proceedings
    EventIEEE Radar Conference -
    Duration: 1 Jan 1900 → …

    Publication series

    NameIEEE Radar Conference
    PublisherIEEE
    ISSN (Print)1097-5764

    Conference

    ConferenceIEEE Radar Conference
    Period1/01/00 → …

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

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