Electronic countermeasure (ECM) techniques against RF missile systems are enhanced by using radio frequency digital memory (DRFM) to preserve the radar signal for subsequent re-transmission with deceptive modulation in order to confuse the missiles tracking radar. The aim of the study was to investigate whether such radar platforms could use statistical signal processing to differentiate between real and false target returns. It is shown that enhanced linear discriminant analysis (LDA) and also artificial neural network (ANN) processing can discriminate down to three bit DRFM resolution depending on received jammer-to-noise ratio.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Statistical processing techniques for detecting DRFM repeat-jam radar signals


    Additional title:

    Statistische Verarbeitungstechniken zur Erkennung von DRFM-Wiederholungsstörungs-Radarsignalen


    Contributors:
    Hill, P.C.J. (author) / Truffert, V. (author)


    Publication date :

    1992


    Size :

    6 Seiten, 9 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    SAR-ECCM using Phase-Perturbed LFM Chirp Signals and DRFM Repeat

    Penalization, Jammer | Online Contents | 2006



    METHOD FOR DETECTING OBJECTS IN AUTOMOTIVE-GRADE RADAR SIGNALS

    TRAA JOHANNES / SCHWEITZER ANDREW M / YELLEPEDDI ATULYA | European Patent Office | 2022

    Free access

    Method for detecting objects in automotive-grade radar signals

    TRAA JOHANNES / SCHWEITZER ANDREW / YELLEPEDDI ATULYA | European Patent Office | 2025

    Free access

    Use of Polarization and Statistical Characteristics of Radar Signals in Detecting Areas in Clouds Dangerous for Aircraft Flying

    Shupiatsky, A. B. / Yanovsky, F. I. / Electromagnetics Academy et al. | British Library Conference Proceedings | 1993