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Yanhua Tan

dblp:144/9175 · DBLP profile ↗
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2ranked-venue papers
1as first author
1since 2021 · last 2024
0009-0008-8067-0632ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1Computer networks · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 100%

Topics — the 6 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › modulation › shift keying
chaos shift keying
0.812024
Three-Dimensional Constellation-Assisted DCSK System: A New Design for High-Rate Chaotic Communication · IEEE Trans. Commun. 2024
Physical-layer communications › modulation
constellation design
0.812024
Three-Dimensional Constellation-Assisted DCSK System: A New Design for High-Rate Chaotic Communication · IEEE Trans. Commun. 2024
Physical-layer communications › spread spectrum › chaos-based communication
differential chaos shift keying
0.812024
Three-Dimensional Constellation-Assisted DCSK System: A New Design for High-Rate Chaotic Communication · IEEE Trans. Commun. 2024
Physical-layer communications
modulation
0.812024
Three-Dimensional Constellation-Assisted DCSK System: A New Design for High-Rate Chaotic Communication · IEEE Trans. Commun. 2024
Physical-layer communications
fading channels
0.212024
Three-Dimensional Constellation-Assisted DCSK System: A New Design for High-Rate Chaotic Communication · IEEE Trans. Commun. 2024
Physical-layer communications › fading channels
rayleigh fading
0.212024
Three-Dimensional Constellation-Assisted DCSK System: A New Design for High-Rate Chaotic Communication · IEEE Trans. Commun. 2024

Methods — techniques the papers use, named apart from their topics

symbol error rate analysis · 0.8PAPR analysis · 0.8
YearPublicationVenuePosition
2024 Three-Dimensional Constellation-Assisted DCSK System: A New Design for High-Rate Chaotic Communication
abstract
A three-dimensional constellation-basedM-ary differential chaos shift keying modulation system, referred to as3D-M-DCSK system, is proposed in this paper. In particular, we exploit the excellent cross-correlation properties of chaotic signals to intelligently combine the 3D constellation mapping and the DCSK scheme, thus increasing the minimum Euclidean distance (MED) between the adjacent mapped symbols. In this way, the date rate and transmission reliability of conventional two-dimensional constellation mapping can be effectively improved. The theoretical expressions for the symbol error rate (SER) of the proposed 3D-M-DCSK system are derived under the additive white Gaussian noise (AWGN) channel as well as the multipath Rayleigh fading channel. Additionally, the peak-to-average-power-ratio (PAPR) performance of the proposed 3D-M-DCSK system is carefully analyzed. Simulation results show that the proposed 3D-M-DCSK system achieves outstanding improvement in terms of transmission reliability and PAPR performance compared to the state-of-the-artM-DCSK system in both AWGN and multipath Rayleigh fading channels.
Yanhua Tan, Yiwei Tao, Yi Fang 0005, Yonghui Li 0001
IEEE Trans. Commun.1
2018 Direct sequence estimation: a functional network approach
Xiukai Ruan, Yanhua Tan, Guihua Cui, Xiaojing Shi, Qibo Cai, Haitao Zhao 0004
Neural Comput. Appl.2