| 空间相关噪声下信源个数的聚类检测算法 |
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| 引用本文： | 包志强,韩冰,吴顺君.空间相关噪声下信源个数的聚类检测算法[J].测试技术学报,2006,20(5):444-450. |
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| 作者姓名： | 包志强 韩冰 吴顺君 |
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| 作者单位： | 1. 西安电子科技大学,雷达信号处理国家重点实验室,陕西,西安,710071
2. 西安电子科技大学,电子工程学院,陕西,西安,710071 |
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| 摘 要： | 针对空间相关噪声情况,利用两个独立阵列之间噪声不相关的特性,采用联合协方差矩阵的规范相关系数作为聚类特征,提出了一种基于模糊c均值聚类的信源个数检测方法.并详细分析了应用Fuzzy-c-Means(FCM)聚类算法进行信源个数检测的3个问题: 聚类的趋势、有效性和聚类中心的初始化.与经典算法相比,本文算法有较好的角度分辨力和检测性能.仿真结果证明了该方法的有效性和鲁棒性.
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| 关 键 词： | 相关噪声 模糊聚类 信源个数 信源检测 阵列信号处理 |
| 文章编号： | 1671-7449（2006）05-0444-07 |
| 收稿时间： | 2005-11-17 |
| 修稿时间： | 2005年11月17 |
Sources Detection Based on Clustering in Spatially Correlated Noise Fields |
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| BAO Zhiqiang,HAN Bing,WU Shunjun.Sources Detection Based on Clustering in Spatially Correlated Noise Fields[J].Journal of Test and Measurement Techol,2006,20(5):444-450. |
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| Authors: | BAO Zhiqiang HAN Bing WU Shunjun |
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| Abstract: | To deal with the spatially correlated noise,a detection method based on Fuzzy-c-Means(FCM) clustering algorithm is proposed,which uses canonical correlation coefficients of the joint covariance matrix as the feature to be classified.Three crucial issues are discussed for the application of Fuzzy-c-Means method to the source-number detection.Compared with the classical methods,the presented algorithm has better performance and angular resolution.The simulation results demonstrate the effectiveness and robustness of the proposed scheme. |
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| Keywords: | correlated noise fuzzy clustering number of sources source detection array signal processing |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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