Simulation-Enhanced MQAM Modulation Identification in Communication Systems: A Subtractive Clustering-Based PSO-FCM Algorithm Study
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| Title: | Simulation-Enhanced MQAM Modulation Identification in Communication Systems: A Subtractive Clustering-Based PSO-FCM Algorithm Study |
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| Authors: | Zhi Quan, Hailong Zhang, Jiyu Luo, Haijun Sun |
| Source: | Information, Vol 15, Iss 1, p 42 (2024) |
| Publisher Information: | MDPI AG |
| Publication Year: | 2024 |
| Collection: | Directory of Open Access Journals: DOAJ Articles |
| Subject Terms: | modulation recognition, fuzzy c-means algorithm, constellation diagram, particle swarm optimization algorithm, MQAM signal, Information technology, T58.5-58.64 |
| Description: | Signal modulation recognition is often reliant on clustering algorithms. The fuzzy c-means (FCM) algorithm, which is commonly used for such tasks, often converges to local optima. This presents a challenge, particularly in low-signal-to-noise-ratio (SNR) environments. We propose an enhanced FCM algorithm that incorporates particle swarm optimization (PSO) to improve the accuracy of recognizing M-ary quadrature amplitude modulation (MQAM) signal orders. The process is a two-step clustering process. First, the constellation diagram of the received signal is used by a subtractive clustering algorithm based on SNR to figure out the initial number of clustering centers. The PSO-FCM algorithm then refines these centers to improve precision. Accurate signal classification and identification are achieved by evaluating the relative sizes of the radii around the cluster centers within the MQAM constellation diagram and determining the modulation order. The results indicate that the SC-based PSO-FCM algorithm outperforms the conventional FCM in clustering effectiveness, notably enhancing modulation recognition rates in low-SNR conditions, when evaluated against a variety of QAM signals ranging from 4QAM to 64QAM. |
| Document Type: | article in journal/newspaper |
| Language: | English |
| Relation: | https://www.mdpi.com/2078-2489/15/1/42; https://doaj.org/toc/2078-2489; https://doaj.org/article/7043244d13c74d6f8cc715c23077a0ac |
| DOI: | 10.3390/info15010042 |
| Availability: | https://doi.org/10.3390/info15010042 https://doaj.org/article/7043244d13c74d6f8cc715c23077a0ac |
| Accession Number: | edsbas.1B708D5E |
| Database: | BASE |
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