Motivated by its inherent robustness to Doppler spread, Zak transform-based orthogonal time-frequency space (OTFS) modulation has emerged as a promising candidate for next-generation wireless technologies, particularly in the 6G and beyond framework. In this paper, we introduce a novel channel estimation algorithm for discrete Zak transform (DZT)-based OTFS, employing a superimposed pilot frame structure and capable of accommodating arbitrary pulse shapes and fractional delay-Dopplers (DD). The proposed algorithm leverages the DD channel invariance across multiple OTFS frames, which offers the benefit of multiple measurements in channel estimation. Extensive simulation results demonstrate that the proposed algorithm achieves good bit error rate (BER) and normalized mean square error (NMSE) performance, showcasing its effectiveness in practical communication settings. Impact of the use of different detectors on the iterative channel estimation/ detection performance is also studied.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Iterative Channel Estimation/Detection for DZT-OTFS Using Superimposed Pilot Frames


    Beteiligte:


    Erscheinungsdatum :

    24.06.2024


    Format / Umfang :

    1028530 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Optimal Partially Superimposed Pilot Pattern for OTFS Communication

    Ouchikh, Rabah / Alssa-El-Bey, Abdeldjalil / Chonavel, Thierry et al. | IEEE | 2024



    Data-Aided Fractional Delay-Doppler Channel Estimation with Embedded Pilot Frames in DZT-Based OTFS

    Muppaneni, Sai Pradeep / Mattu, Sandesh Rao / Chockalingam, A. | IEEE | 2023


    Maximum Likelihood Channel Path Detection and MMSE Channel Estimation in OTFS Systems

    Kumar Singh, Vibhutesh / Flanagan, Mark F. / Cardiff, Barry | IEEE | 2020