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Journal Article High Accuracy Channel Estimation With TxID Sequence in ATSC 3.0 SFN
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Authors
Zhihong Hunter Hong, Yiyan Wu, Wei Li, Liang Zhang, Zhiwen Zhu, Sung-Ik Park, Namho Hur, Eneko Iradier, Jon Montalban
Issue Date
2024-06
Citation
IEEE Transactions on Broadcasting, v.70, no.2, pp.391-400
ISSN
0018-9316
Publisher
Institute of Electrical and Electronics Engineers
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/TBC.2024.3353577
Abstract
Inter-tower communications networks (ITCN) and wireless in-band distribution links (IDL) reuse the same broadcast spectrum for establishing communications links between transmitter towers and for wireless backhaul by multiplexing the ITCN/IDL signals with the broadcast signal into a frame for transmission. In single-frequency networks (SFN) environment, where all the transmitter towers broadcast the same preamble and in-band pilots for improving TV coverage and received signal strength, receiving the desired ITCN/IDL signal from a specific transmitter is challenging with the conventional channel estimation techniques. In the Advanced Television Standard Committee (ATSC) 3.0, one unique transmitter identification (TxID) sequence, a spread sequence overlaid with the preamble signal, is assigned for each transmitter for the purpose of SFN planning and synchronization. By using the TxID sequence, the channel estimation of a specific transmitter becomes feasible. However, the accuracy of existing TxID-based channel estimation is limited due to interferences from the preamble signal and the co-channel TxIDs, as well as the non-orthogonality of the TxID sequence. Several high-accuracy channel estimation schemes based on the TxID sequence are proposed in this paper, which enable IDL and ITCN with very high data rate transmission, e.g., 1024 QAM modulation.
KSP Keywords
ATSC 3.0, Channel estimation(CE), Communications links, Estimation technique, High accuracy, Non-orthogonality, QAM modulation, Spread Sequence, Transmitter Identification, co-channel, communications network