郑州大学学报（工学版）2025，Vol.46Issue(4)：55-61,7.DOI:10.13705/j.issn.1671-6833.2024.04.015
基于多准则融合与智能决策的调制识别算法
Modulation Recognition Algorithm Based on Multi-criteria Fusion and Intelligent Decision
摘要
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.关键词
调制识别/高阶累积延伸量/CART决策树/基尼系数/多准则融合/剪枝算法Key words
modulation recognition/higher-order cumulative extension/CART decision tree/Gini coefficient/multi-criteria fusion/pruning algorithm分类
信息技术与安全科学引用本文复制引用
夏兆宇,林玉洁,胡春源,吴梓豪..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）,2025,46(4):55-61,7.基金项目
国家重点研发计划(2023YFF0717400) （2023YFF0717400）
国家自然科学基金资助项目(62001030) （62001030）
