Matched filtering based on linear frequency modulated (LFM) or chirp signals constitutes a reliable approach for frame detection even in the presence of high carrier frequency offsets (CFOs). However, the use of polyphase codes as discrete versions of LFM signals can lead to strong degradation at the output of the matched filter for certain CFO conditions and sequence lengths, yielding missed detection. This work proposes a new approach to improve the probability of detection achievable with matched filtering for these unfavorable situations. The proposed approach exploits the symmetry of a reference sequence that consists of a polyphase code followed by its complex conjugate with an algorithm based on reversed autocorrelation (RC) and successfully utilizes the robustness of RC against CFO for detection. It is shown that joint detection based on matched filtering and RC can enhance the detection performance significantly compared to conventional matched filtering.


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    Titel :

    A New Approach for Enhanced Detection Using Chirp Reference Signals


    Beteiligte:
    Martinez, Ana Belen (Autor:in) / Kumar, Atul (Autor:in) / Chafii, Marwa (Autor:in) / Fettweis, Gerhard (Autor:in)


    Erscheinungsdatum :

    01.11.2020


    Format / Umfang :

    953659 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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