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Backward Compatible Low-Complexity Demapping Algorithms for Two-Dimensional Non-Uniform Constellations in ATSC 3.0

机译:ATSC 3.0中的二维非均匀星座的向后兼容低复杂性解算算法

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摘要

Non-uniform constellation (NUC) is an advanced technology in digital terrestrial television broadcasting (DTTB) systems to reduce the shapping gap of BICM capacity to Shannon theoretical limit and provide performance gain. Two-dimensional NUC (2D-NUC) is a kind of NUC providing more gain but bringing higher demapping complexity at the receiver, which hinders its application prospects, especially in power limited systems. This paper proposes three novel demapping algorithms with reduced complexity for low to medium code rate 2D-NUCs in Advanced Television Systems Committee 3rd Generation (ATSC 3.0) standard. The proposed algorithms are based on the introduction of virtual points, the strategy of condensed symbols reduction and some reasonable approximations. There is a trade-off between the demapping complexity and performance. These three algorithms have different degrees of reduction in complexity and performance degradation, so they accommodate for different practical requirements. Theoretical analysis and simulation results are also given in this paper to prove the efficiency of the proposed demapping algorithms with reduced complexity.
机译:非均匀星座(NUC)是数字地面电视广播(DTTB)系统中的先进技术,以减少BICM容量的旋转差距,以便桑森理论极限提供性能增益。二维NUC(2D-NUC)是一种提供更多增益,但在接收器中带来更高的解映射复杂,阻碍了其应用前景,特别是在电力有限系统中。本文提出了三种新的解映射算法,其复杂性降低到高级电视系统委员会第3代(ATSC 3.0)标准中的低至中等码率2D-NUC。所提出的算法基于引入虚拟点,凝结符号的策略减少和一些合理的近似。贬值复杂性和性能之间存在权衡。这三种算法具有不同程度的复杂性和性能降低,因此它们适用于不同的实际要求。本文还给出了理论分析和仿真结果,以证明具有降低复杂性的提出的解映射算法的效率。

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