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提出了一种基于星座聚类的MQAM调制识别新方法,运用一种改进的基于遗传算法的自适应聚类算法对MQAM星座进行重构和识别。该自适应聚类算法利用遗传算法的高效全局搜索特性,克服了模糊C-均值算法对初始聚类中心和样本输入次序敏感等不足,结合聚类有效性分析实现了聚类中心数目的自适应调整。仿真结果表明,基于该聚类算法的MQAM信号调制阶数识别方法是有效的。
A new MQAM modulation recognition method based on constellation clustering is proposed. An improved adaptive clustering algorithm based on genetic algorithm is used to reconstruct and identify MQAM constellation. The adaptive clustering algorithm utilizes the efficient global search feature of genetic algorithm to overcome the shortcomings of the fuzzy C-means algorithm such as sensitivity to the initial clustering center and sample input order. Combined with the clustering validity analysis, adaptive clustering center number adaptive Adjustment. The simulation results show that the MQAM signal modulation order identification method based on the clustering algorithm is effective.