Transmitter Identification Signal Detection Algorithm for ATSC 3.0 Single Frequency Networks

Jaekwon Lee; Sunhyoung Kwon; Sung Ik Park; Dong Ku Kim

doi:10.1109/TBC.2020.2965060

Transmitter Identification Signal Detection Algorithm for ATSC 3.0 Single Frequency Networks

Jaekwon Lee, Sunhyoung Kwon, Sung Ik Park, Dong Ku Kim

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

9 Citations (Scopus)

Abstract

To effectively operate and maintain an existing single frequency network (SFN), the advanced television systems committee (ATSC) 3.0 transmission system has utilized a transmitter identification (TxID) technique. The TxID technique aims is to obtain the channel impulse response (CIR) of each transmitter independently to support the adjustment of the relative power level and delay offset of individual transmitters. The professional receiver can detect such CIR, but a commercial ATSC 3.0 receiver does not need to be necessarily decoded the TxID signal. Also, according to the ATSC 3.0 standard, the TxID signal is embedded into the preamble signal with an appropriately low injection level (IL), such that the impact on the preamble reception is negligible. This paper proposes an efficient TxID signal detection algorithm to enhance the individual CIR detection performance during the TxID analyzing process. The simulation results indicate that the proposed TxID signal detection algorithm can offer better individual CIR detection performance as compared to the conventional TxID signal detection algorithms, even though the IL of TxID signal is low.

Original language	English
Article number	8974232
Pages (from-to)	737-743
Number of pages	7
Journal	IEEE Transactions on Broadcasting
Volume	66
Issue number	3
DOIs	https://doi.org/10.1109/TBC.2020.2965060
Publication status	Published - 2020 Sept

Bibliographical note

Funding Information:
Manuscript received September 6, 2019; revised December 12, 2019; accepted December 17, 2019. Date of publication January 29, 2020; date of current version September 3, 2020. This work was supported by the Institute of Information and Communications Technology Planning and Evaluation grant funded by the Korea Government (MSIT, Development of ATSC 3.0-Based On-Channel Repeater Technology for High Quality Broadcasting) under Grant 2019-0-00030. (Corresponding author: Dong Ku Kim.) Jaekwon Lee is with the Technical Research Institute, Korean Broadcasting System, Seoul 150-790, South Korea, and also with the Department of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, South Korea (e-mail: breeze@kbs.co.kr).

Publisher Copyright:
© 1963-12012 IEEE.

All Science Journal Classification (ASJC) codes

Media Technology
Electrical and Electronic Engineering

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10.1109/TBC.2020.2965060

Cite this

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abstract = "To effectively operate and maintain an existing single frequency network (SFN), the advanced television systems committee (ATSC) 3.0 transmission system has utilized a transmitter identification (TxID) technique. The TxID technique aims is to obtain the channel impulse response (CIR) of each transmitter independently to support the adjustment of the relative power level and delay offset of individual transmitters. The professional receiver can detect such CIR, but a commercial ATSC 3.0 receiver does not need to be necessarily decoded the TxID signal. Also, according to the ATSC 3.0 standard, the TxID signal is embedded into the preamble signal with an appropriately low injection level (IL), such that the impact on the preamble reception is negligible. This paper proposes an efficient TxID signal detection algorithm to enhance the individual CIR detection performance during the TxID analyzing process. The simulation results indicate that the proposed TxID signal detection algorithm can offer better individual CIR detection performance as compared to the conventional TxID signal detection algorithms, even though the IL of TxID signal is low.",

author = "Jaekwon Lee and Sunhyoung Kwon and Park, {Sung Ik} and Kim, {Dong Ku}",

note = "Funding Information: Manuscript received September 6, 2019; revised December 12, 2019; accepted December 17, 2019. Date of publication January 29, 2020; date of current version September 3, 2020. This work was supported by the Institute of Information and Communications Technology Planning and Evaluation grant funded by the Korea Government (MSIT, Development of ATSC 3.0-Based On-Channel Repeater Technology for High Quality Broadcasting) under Grant 2019-0-00030. (Corresponding author: Dong Ku Kim.) Jaekwon Lee is with the Technical Research Institute, Korean Broadcasting System, Seoul 150-790, South Korea, and also with the Department of Electrical and Electronic Engineering, Yonsei University, Seoul 120-749, South Korea (e-mail: breeze@kbs.co.kr). Publisher Copyright: {\textcopyright} 1963-12012 IEEE.",

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Transmitter Identification Signal Detection Algorithm for ATSC 3.0 Single Frequency Networks

Abstract

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