We consider range estimation and range-Doppler imaging using signed measurements of a radar system. Known time-varying thresholds are investigated for taking the signed measurements through one-bit sampling, and are compared with unknown dithering with known probability density function. The maximum likelihood (ML) approach is considered for signal parameter estimation. Since the ML algorithm is computationally prohibitive, a relaxation-based approach, referred to as the One-Bit RELAX algorithm, is used for signal parameter estimation. The conventional RELAX algorithm proposed for high-resolution sampling is also considered for comparison purposes. Moreover, a model-order selection tool, namely the Bayesian information criterion, is used to determine the number of scatterers within the scene of interest. Both numerical and experimental examples are provided to demonstrate the performance of the proposed approaches.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Range Estimation and Range-Doppler Imaging Using Signed Measurements in LFMCW Radar


    Contributors:
    Zhang, Rong (author) / Li, Changheng (author) / Li, Jian (author) / Wang, Gang (author)


    Publication date :

    2019-12-01


    Size :

    2809255 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Detection and Estimation of LFMCW Radar Signals

    Geroleo, F. G. / Brandt-Pearce, M. | IEEE | 2012



    Helicopter Classification with a High Resolution LFMCW Radar

    Muñoz-Ferreras, J | Online Contents | 2009


    A Research on Millimeter Wave LFMCW Radar for Airfield Object Imaging

    Yang, X. / Yang, J. | British Library Online Contents | 2001