A cognitive detect and avoid radar system based on chaotic UWB-MIMO waveform design to enable autonomous UAV navigation is presented. A Dirichlet-process-mixture-model (DPMM)-based Bayesian clustering approach to discriminate extended targets and a change-point (CP) detection algorithm are applied for the autonomous tracking and identification of potential collision threats. A DPMM-based clustering mechanism does not rely upon any a priori target scene assumptions and facilitates online multivariate data clustering/classification for an arbitrary number of targets. Furthermore, this radar system utilizes a cognitive mechanism to select efficient chaotic waveforms to facilitate enhanced target detection and discrimination. We formulate the CP mechanism for the online tracking of target trajectories, which present a collision threat to the UAV navigation; thus, we supplement the conventional Kalman-filter-based tracking. Simulation results demonstrate a significant performance improvement for the DPMM-CP-assisted detection as compared with direct generalized likelihood-ratio-based detection. Specifically, we observe a 4-dB performance gain in target detection over conventional fixed UWB waveforms and superior collision avoidance capability offered by the joint DPMM-CP mechanism.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Cognitive Chaotic UWB-MIMO Detect-Avoid Radar for Autonomous UAV Navigation




    Erscheinungsdatum :

    2016




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    55.84 Straßenverkehr / 55.24 / 55.84 / 55.24 Fahrzeugführung, Fahrtechnik



    Cognitive Chaotic UWB-MIMO Detect-Avoid Radar for Autonomous UAV Navigation

    Nijsure, Yogesh Anil / Kaddoum, Georges / Khaddaj Mallat, Nazih et al. | IEEE | 2016


    Cognitive chaotic UWB-MIMO radar based on nonparametric Bayesian technique

    Nijsure, Yogesh / Kaddoum, Georges / Leung, Henry | IEEE | 2015


    AUTONOMOUS DETECT AND AVOID FROM SPEECH RECOGNITION AND ANALYSIS

    MOONEY JOHN / SHOEB ALI | Europäisches Patentamt | 2024

    Freier Zugriff


    Autonomous Detect and Avoid algorithm respecting airborne Right of Way rules

    Mukherjee, Anurag / Mondal, Sabyasachi / Tsourdos, Antonios | AIAA | 2024