Packet Detection and Timing Synchronization for High Performance Wireless Communications in Substation Automation

    公开(公告)号:US20210006448A1

    公开(公告)日:2021-01-07

    申请号:US16969704

    申请日:2018-02-13

    Applicant: ABB Schweiz AG

    Abstract: A method for packet detection in a wireless communication network employing time based scheduling of packets. The method is performed by a packet receiver in the wireless communication network. The method includes receiving a packet from a packet transmitter. The packet includes a preamble that is composed of a single orthogonal frequency-division multiplexing (OFDM) symbol and represented by a sequence of samples. T least part of the preamble is received within a packet detection window. Packet detection is performed in order to find a start of the packet only on those samples received within the packet detection window.

    Frequency Offset Estimation and Compensation for High Performance Wireless Communications in Substation Automation

    公开(公告)号:US20210006449A1

    公开(公告)日:2021-01-07

    申请号:US16969715

    申请日:2018-02-13

    Applicant: ABB Schweiz AG

    Abstract: A method is used for frequency offset estimation in a wireless communication network that employs time based scheduling of packets. The method is performed by a packet receiver in the wireless communication network. The method includes receiving a packet from a packet transmitter. The packet includes a preamble that is composed of samples of a single orthogonal frequency-division multiplexing symbol. The preamble has a cyclic prefix (CP) defined by a repetition of samples from an end-portion of the preamble and the preamble, except for the CP, is free from any repeated sequence of samples. The method also includes determining a sequence of similarity measure values between the CP of the preamble and the end-portion of the preamble, applying a low-pass filter to the sequence of similarity measure values, resulting in a filtered sequence of similarity measure values, and performing frequency offset estimation on the filtered sequence of similarity measure values.

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