Single-frequency network (SFN) can be applied to advanced television systems committee (ATSC) 3.0-based terrestrial broadcasting systems to improve the service availability and quality of service without additional spectral resources. The main problem of SFN planning is the co-channel interference caused by multiple transmitters that use the same radio frequency for signal transmission and reception. The effect of the co-channel interference can be minimized by adjusting the network delay and transmit power of multiple transmitters within the SFN coverage area. To adjust the delay and power, it is necessary to estimate the channel impulse response (CIR) from each transmitter to a receiver. To support this process, a transmitter identification (TxID) signal is embedded in an original ATSC 3.0 signal. At the receiver, the individual CIR may be measured by a correlation-process-based TxID detection. However, since the correlation process may require large computational efforts, it is a quite challenging work to design a TxID detection algorithm with reduced complexity. This paper proposes a low-complexity TxID detection algorithm. The design and performance of the proposed algorithm is investigated and analyzed through numerical simulations. The simulation results indicate that the proposed algorithm can offer almost the same performance as the conventional TxID detection algorithm with significantly reduced complexity.
Bibliographical noteFunding Information:
Manuscript received June 3, 2018; accepted September 7, 2018. Date of publication October 25, 2018; date of current version June 5, 2019. This work was supported by the Institute for Information and Communications Technology Promotion grant funded by the Korea Government (Transmission/ Reception Environment Analysis and Network Configuration Development for Terrestrial UHD) under Grant 2017-0-00442. (Corresponding author: Dong Ku Kim.) J. 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: firstname.lastname@example.org).
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All Science Journal Classification (ASJC) codes
- Media Technology
- Electrical and Electronic Engineering