Transmitter Identification Signal Detection Algorithm for ATSC 3.0 Single Frequency Networks

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 transmi...

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Bibliographic Details
Published in:IEEE transactions on broadcasting Vol. 66; no. 3; pp. 737 - 743
Main Authors: Lee, Jaekwon, Kwon, Sunhyoung, Park, Sung-Ik, Kim, Dong Ku
Format: Journal Article
Language:English
Published: New York IEEE 01.09.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
ATSC 30
Broadcasting
compressive sensing
Computer simulation
Correlation
Impulse response
Radio transmitters
Receivers
SFN
Signal detection
Signal processing
Television systems
Transmitters
TxID
ISSN:0018-9316, 1557-9611
Online Access:Get full text
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Summary: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.
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ISSN:0018-9316
1557-9611
DOI:10.1109/TBC.2020.2965060