Amplitude-Scaled Clustering Method for Probabilistic Shaping Distribution Recognition
An amplitude-scaled clustering method for the identification of PS-QAM signals shaping distributions is proposed. Simulations show that this method achieves 100% recognition of high-order PS-QAM signal distributions with a 0.1 bit/symbol interval.
Authors
- Ran Gao (ORCID: https://orcid.org/0000-0003-2666-1643)
- Yongjun Wang (ORCID: https://orcid.org/0000-0002-3242-2027)
- Gang Xin (ORCID: https://orcid.org/0009-0004-5949-4364)
- Yi Zhao (ORCID: https://orcid.org/0000-0002-1139-8320)
- Qihan Zhao (ORCID: https://orcid.org/0009-0000-5450-8457)
- Qinghua Tian (ORCID: https://orcid.org/0000-0002-1169-9078)
- Yun Wang (ORCID: https://orcid.org/0000-0001-7146-8290)
- Feng Tian
- Lan Rao (ORCID: https://orcid.org/0000-0002-0517-2536)
- Qi Zhang (ORCID: https://orcid.org/0000-0002-1511-7485)
- Yuan Gao (ORCID: https://orcid.org/0000-0002-3267-3555)
- Xinyu Yuan
Institutions
- Beijing Institute of Technology (CN)
- Beijing University of Posts and Telecommunications (CN)
- Changzhou Institute of Technology (CN)
Publication Details
- Published
- 2024-11-02
- DOI
- https://doi.org/10.1109/acp/ipoc63121.2024.10809940
- Primary Topic
- Image Processing and 3D Reconstruction
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China