Due to the increasing demand for low power and higher sampling rates, low resolution quantization for data acquisition has drawn great attention recently. Consequently, line spectral estimation with multiple measurement vectors from coarsely quantized samples is of vital importance in cutting edge array signal processing applications such as range estimation and direction of arrival estimation in millimeter wave radar systems. In this article, we combine the low complexity gridless multisnapshot variational line spectral estimation (VALSE) and expectation propagation (EP) and propose an MVALSE-EP algorithm to estimate the frequencies from coarsely quantized samples. In addition, the Cramér Rao bound is derived as a benchmark performance of the proposed algorithm, and insights are provided to reveal the effects of system parameters on estimation performance. It is shown that snapshots benefits the frequency estimation, especially in coarsely quantized scenarios. Numerical experiments are conducted to demonstrate the effectiveness of MVALSE-EP, including real dataset.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Gridless Multisnapshot Variational Line Spectral Estimation From Coarsely Quantized Samples


    Beteiligte:
    Zhang, Ning (Autor:in) / Zhu, Jiang (Autor:in) / Xu, Zhiwei (Autor:in)


    Erscheinungsdatum :

    01.06.2023


    Format / Umfang :

    2964625 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Angle and Waveform Estimation from Coarsely Quantized Array Data

    Zhu, Heng / Liu, Fangqing / Li, Jian | IEEE | 2019


    State Estimation with Coarsely Quantized, High-Data-Rate Measurements

    Curry, Renwick E. / Mirchandani, Pitu / Price, Charles F. | IEEE | 1975



    Generalized Gridless Formulation of Reweighted $\ell _{2,1}$ Minimization for DoA Estimation

    Cheng, Yun / Liu, Tianpeng / Shi, Junpeng et al. | IEEE | 2025


    Development of the linear gridless ion thruster

    Beal, Brian / Gallimore, Alec | AIAA | 2001