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Journal Article Efficient ATSC 3.0 TxID Signal Detection for Single Frequency Networks
Cited 7 time in scopus Share share facebook twitter linkedin kakaostory
Authors
Jaekwon Lee, Sungho Jeon, Sung-Ik Park, Dong Ku Kim
Issue Date
2019-06
Citation
IEEE Transactions on Broadcasting, v.65, no.2, pp.326-332
ISSN
0018-9316
Publisher
IEEE
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/TBC.2018.2874548
Abstract
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.
KSP Keywords
ATSC 3.0, Advanced television systems committee(ATSC), Availability and Quality, Broadcasting system, Coverage area, Detection algorithm, Low complexity, Network Delay, Numerical simulation(Trnsys16), Process-based, Radio-frequency