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Low-complexity soft-decision parallel equaliser algorithms for Chinese next-generation-high-performance AV

Authors: Daoping Jiang; Zhaofeng Zhang; Ge Gao; Jianmin Zhuang; Runsheng He;

Low-complexity soft-decision parallel equaliser algorithms for Chinese next-generation-high-performance AV

Abstract

ABSTRACTThe goals of the Chinese next-generation-high-performance AV (C-NGHPAV) system are to efficiently utilise the precious last 100 m of the coaxial cable of China’s state administration of radio film and television (SARFT) to achieve a gigabit transmission rate. This target demands higher requirements regarding the physical layer (PHY) throughput. The key to high throughput is to devise an effective method for increasing the execution speed of the demodulated soft decision and the adaptive equalisation algorithm. In this paper, the C-NGHPAV system architecture is introduced and the technical details of the key features are described. Firstly, quadrature amplitude modulation (QAM) and the binary phase shift keying (BPSK) soft-decision algorithm known as the max-log-maximum a posteriori (MAP) algorithm with logarithmic complexity (max-log-map-lc) are realised. The algorithm is less complex than other soft-decision algorithms. Secondly, a parallel architecture of adaptive quadrature rectangle-decomposit...

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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