Target detection and recognition is a very challenging task in a wireless environment where a multitude of objects are located, whether to effectively determine their positions or to identify them and predict their moves. In this work, we propose a new method based on a convolutional neural network (CNN) to estimate the range and velocity of moving targets directly from the range-Doppler map of the detected signals. We compare the obtained results to the two dimensional (2D) periodogram, and to the similar state of the art methods, 2DResFreq and VGG-19 network and show that the estimation process performed with our model provides better estimation accuracy of range and velocity index in different signal to noise ratio (SNR) regimes along with a reduced prediction time. Afterwards, we assess the performance of our proposed algorithm using the peak signal to noise ratio (PSNR) which is a relevant metric to analyse the quality of an output image obtained from compression or noise reduction. Compared to the 2D-periodogram, 2DResFreq and VGG-19, we gain 33 dB, 21 dB and 10 dB, respectively, in terms of PSNR when SNR = 30 dB.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Deep Learning-based Estimation for Multitarget Radar Detection


    Beteiligte:
    Delamou, Mamady (Autor:in) / Bazzi, Ahmad (Autor:in) / Chafii, Marwa (Autor:in) / Amhoud, El Mehdi (Autor:in)


    Erscheinungsdatum :

    01.06.2023


    Format / Umfang :

    1334988 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Reinforcement Learning-Based MIMO Radar Multitarget Detection Assisted by Bayesian Inference

    Wang, Zicheng / Xie, Wei / Zhou, Zhengchun et al. | IEEE | 2024


    A Reinforcement Learning Based Approach for Multitarget Detection in Massive MIMO Radar

    Ahmed, Aya Mostafa / Ahmad, Alaa Alameer / Fortunati, Stefano et al. | IEEE | 2021



    Spiraphase reflectarray - for multitarget radar

    Phelan, H.R. | Tema Archiv | 1977


    A Deep Learning Approach of Vehicle Multitarget Detection from Traffic Video

    Xun Li / Yao Liu / Zhengfan Zhao et al. | DOAJ | 2018

    Freier Zugriff