| 调制识别算法及性能分析 |
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| 引用本文： | 冯祥,李建东. 调制识别算法及性能分析[J]. 电波科学学报, 2005, 20(6): 737-740 |
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| 作者姓名： | 冯祥 李建东 |
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| 作者单位： | 西安电子科技大学ISN国家重点实验室,信息科学研究所,陕西,西安,710071;西安电子科技大学ISN国家重点实验室,信息科学研究所,陕西,西安,710071 |
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| 基金项目： | 中国科学院资助项目，中国科学院资助项目，高等学校优秀青年教师教学科研奖励计划，重庆市应用基础研究基金，国家科技攻关项目 |
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| 摘 要： | 为了提高信号调制识别的性能,以信号的六阶和四阶累积量作为识别特征,研究了一种基于高阶累积量的调制识别算法.分析了最大似然调制识别算法和高阶累积量调制识别算法的性能.并在高斯信道和平衰落信道下对其性能进行了仿真,仿真表明,在一般通信环境下,基于累积量的调制识别算法具有较强的稳健性和实用性.
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| 关 键 词： | 调制识别 高阶累积量 似然函数 自适应盲检测 |
| 文章编号： | 1005-0388（2005）06-0737-04 |
| 收稿时间： | 2004-11-10 |
| 修稿时间： | 2004-11-10 |
Modulation classification algorithms and performance analysis |
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| FENG Xiang,LI Jian-dong. Modulation classification algorithms and performance analysis[J]. Chinese Journal of Radio Science, 2005, 20(6): 737-740 |
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| Authors: | FENG Xiang LI Jian-dong |
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| Abstract: | A higher order cumulants based modulation classification algorithm is presented. The fourth ane sixth order cumulants of the received signal are used as the classification features, the maximum-likelihood classification algorithm is investigated, and the performance of the maximum-likelihood and cumulants based classification algorithms is analyzed. Simulations focus on the comparison of the two algorithms over additive white Gaussian noise (AGWN) and flat fading channels respectively, and the results show that the cumulants based algorithm has advantages over maximum-likelihood algorithm of robustness and practicability. |
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| Keywords: | modulation classification higher order eumulants likelihood function adaptive blind detection |
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