The rapid deployment of 5G systems and the new communication technologies adopted in system design make “5G positioning” a new direction to the problem of high-precision positioning. This paper studies the opportunistic navigation method using 5G downlink cellular signals. Then proposes a software-defined receiver (SDR) that extracts navigation observations from 5G cellular signals and completes the signal acquisition and tracking. In view of the intermittent broadcast characteristics of 5G reference signals, the traditional Delay Locked Loop (DLL) tracking loop cannot perform long-term coherent integration of this type of signal, the tracking accuracy is limited and the loop robustness is poor. This paper proposes a method of intermittent signal tracking combined with DLL and Kalman Filter (KF), derives a signal model based on the 5G intermittent signal tracking loop, and modifies the traditional DLL code phase discrimination function. The output of the discriminator is used as the KF filter observation. At the same time, this paper proposes for the first time to compensate residual frequency offset on different subcarriers of OFDM signals to reduce the influence of frequency offset on code phase estimation. Further, from the perspective of multi-dimensional resource joint optimization in time domain, frequency domain and space, A Signal tracking scheme of Positioning Reference Signal (PRS) and Channel State Information Reference Signal (CSIRS) is proposed. Estimation and correction of the observed noise in the tracking process are carried out in the iterative process. Experimental results show that compared with the traditional DLL tracking results, the tracking loop processing method proposed in this paper can effectively improve the code phase tracking accuracy.


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    Title :

    5G Receiver Design Based on Downlink Intermittent Signals Tracking Algorithm


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yang, Changfeng (editor) / Xie, Jun (editor) / Tang, Guimin (author) / Peng, Ao (author)


    Publication date :

    2022-05-05


    Size :

    10 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





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