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Partial Gaussian-Approximation Soft Demapper for the Core Layer of MIMO-LDM in ATSC 3.0
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- Authors
- Yulong Shang, Seunghyeon Kim, Hojun Kim, Jaehyun Seo, Namho Hur, Taejin Jung
- Issue Date
- 2022-03
- Citation
- IEEE Transactions on Broadcasting, v.68, no.1, pp.123-131
- ISSN
- 0018-9316
- Publisher
- IEEE
- Language
- English
- Type
- Journal Article
- Abstract
- In this paper, we propose a new partial Gaussian approximation (PGA) soft demapper for the core layer (CL) signal in the multiple-input-multiple-output layered-division-multiplexing (MIMO-LDM) of ATSC 3.0 systems. Unlike a conventional GA demapper, where enhanced layer (EL) signals are intentionally modelled as additive Gaussian noise, the proposed PGA jointly decodes the CL signal by assuming the EL signals to be QPSK signals added with the Gaussian noise irrespective of their modulation order and type. The assumed QPSK constellations are used in such a way that the residual signal power in the EL signals should be minimized. We verify the performance gains from this new PGA demapper by analyzing the variation of the received injection-level with respect to MIMO channel gains. Simulation results show that this new PGA outperforms conventional GA at the cost of an acceptable increase in decoding complexity, especially when dealing with low injection-levels or high code rates.
- KSP Keywords
- ATSC 3.0, Gaussian approximation, MIMO channel, Modulation order, Multiple input multiple output(MIMO), Residual signal, Soft demapper, additive Gaussian noise, decoding complexity, layered division multiplexing, signal power