Incorporating a stochastic model of the target orientation into a momentary RCS distribution

Minna Väilä, Juha Jylhä, Timo Sailaranta, Henna Perälä, Ville Väisänen, Ari Visa

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

    10 Citations (Scopus)


    The radar cross section (RCS) of a target describes its reflectivity towards the radar. It is a deterministic quantity - specific to the aspect angle of the target and the properties of the radar signal - and as such can be predicted with various methods when provided with an adequate physical model of the target. However, stochasticity is introduced when considering a target during flight and several factors increasing the uncertainty - typically about the location and orientation of the target in relation to the observing radar - have to be taken into account. It is possible to model these uncertainties when adequate information about physical properties of the target as well as about its flight path and motion mode is available. In this paper, we propose a method for incorporating such knowledge about the flight dynamics into the estimation of a momentary distribution for the RCS. We use a simulated trajectory to demonstrate the method and present comparisons to the Swerling I model.

    Original languageEnglish
    Title of host publication2015 IEEE International Radar Conference, RadarCon 2015, 10-15 May 2015, Arlington, VA
    PublisherThe Institute of Electrical and Electronics Engineers, Inc.
    Number of pages5
    ISBN (Print)9781479982318
    Publication statusPublished - 22 Jun 2015
    Publication typeA4 Article in a conference publication
    EventIEEE Radar Conference -
    Duration: 1 Jan 1900 → …

    Publication series

    NameIEEE National Radar Conference
    ISSN (Print)1097-5659


    ConferenceIEEE Radar Conference
    Period1/01/00 → …

    Publication forum classification

    • Publication forum level 1

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering

    Fingerprint Dive into the research topics of 'Incorporating a stochastic model of the target orientation into a momentary RCS distribution'. Together they form a unique fingerprint.

    Cite this