BROWSE
Detail
Journal Article
A Novel Iterative Detection Scheme of Bootstrap Signals for ATSC 3.0 System
Cited 6 time in 
Share 
Share
- Authors
- Hyeongseok Kim, Jeongchang Kim, Sung-Ik Park, Namho Hur, Michael Simon, Mark Aitken
- Issue Date
- 2019-06
- Citation
- IEEE Transactions on Broadcasting, v.65, no.2, pp.211-219
- ISSN
- 0018-9316
- Publisher
- IEEE
- Language
- English
- Type
- Journal Article
- Abstract
- This paper derives a maximum-likelihood decision rule to detect the signaling information conveyed by the bootstrap for an ATSC 3.0 system and proposes an iterative detection scheme to improve the detection performance. The proposed detection scheme iteratively averages the channel estimates for two consecutive bootstrap symbols by exploiting the previously detected symbol. The simulation results show that the proposed detection scheme can obtain a signal-to-noise ratio gain of approximately 2.0 dB at a frame error rate of 10^{-3} compared to the conventional detection scheme. Furthermore, this paper analyzes the computational complexity of the proposed detection scheme and presents the number of iterations sufficient to provide a good performance-complexity trade-off.
- KSP Keywords
- ATSC 3.0, Computational complexity, Decision rules, Detection scheme, Signal noise ratio(SNR), Signal-to-Noise, Trade-off, detection performance, frame error rate, iterative detection, maximum likelihood