[1]夏兆宇,林玉洁,胡春源,等.基于多准则融合与智能决策的调制识别算法[J].郑州大学学报(工学版),2024,45(pre):2.[doi:10.13705/j.issn.1671-6833.2024.04.015]
 Zhaoyu Xia,Yujie Lin,Chunyuan Hu,et al.Modulation recognition algorithm based on multi criteria fusion and intelligent decision-making[J].Journal of Zhengzhou University (Engineering Science),2024,45(pre):2.[doi:10.13705/j.issn.1671-6833.2024.04.015]
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基于多准则融合与智能决策的调制识别算法()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
45
期数:
2024年pre
页码:
2
栏目:
出版日期:
2024-12-30

文章信息/Info

Title:
Modulation recognition algorithm based on multi criteria fusion and intelligent decision-making
作者:
夏兆宇 林玉洁 胡春源 吴梓豪
Author(s):
Zhaoyu Xia Yujie Lin Chunyuan Hu Zihao Wu
( School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China)

Keywords:
分类号:
TN98 TN929.5
DOI:
10.13705/j.issn.1671-6833.2024.04.015
文献标志码:
A
Abstract:
Aiming to meet the requirement of modulation recognition in high order and to solve the difficulty of  modulation recognition in low signal-to-noise ratio environment in 6G communication, a modulation recognition al gorithm based on multi-criteria fusion and intelligent decision was proposed by combining artificial intelligence tech nology and modern signal processing technology. The algorithm was divided into two parts. Multi-criteria fusion net work and intelligent decision network. The multi-criteria fusion network calculated the higher-order cumulative ex tensions of the standard modulation signals, traversed all the potential thresholds by using local optimal solutions,  and determined the judgment thresholds by Gini coefficient and the entropy of certainty gain. The intelligent deci sion network adopted a CART architecture to recognize the modulation format of unknown signals using the deter mined judgment thresholds, and the model was iterative optimized using a pruning algorithm to obtain the finally op timal decision tree, forming a modulation recognition algorithm based on multi-criteria fusion and intelligent deci sion making.  Experimental results showed that the algorithm could accurately recognize 16QAM, 64QAM,  128QAM, 1024QAM, 2PSK, 4PSK, 8PSK, 2FSK, 4FSK at 0 dB SNR, and the comprehensive recognition accu racy reached 99. 4%. Compared with other methods, the modulation recognition accuracy and the types of recogniz able modulation were improved.

更新日期/Last Update: 2024-05-27