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一种基于FastICA的波达方向估计新方法 被引量：1

New method for estimation of DOA based on fast independent component analysis
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摘要 独立分量分析是一种新颖的盲源分离技术,该方法作为目前信号处理领域的一项新技术,具有非常重要的理论意义和实用价值,已广泛应用于通讯、雷达信号处理、生物医学图像处理、模式识别等众多领域。简要介绍了独立分量分析的基本原理和算法,并提出将快速独立分量分析(FastICA)方法应用于波达方向估计(DOA),通过仿真实验和分析,可以得到DOA的一种简单估计,实验结果亦表明该算法在波达方向估计应用中的可行性和有效性。 Independent Component Analysis （ICA） is a novel blind source separation method. As a new technique of signal processing, ICA has become more and more important and has been widely used in communication, processing of radar signals, image processing of biological medicine, pattern recognition and so on. In this paper, the fundamental theory and algorithm of ICA were presented. And a new method--fastICA was used for DOA estimation. A simple estimation method of DOA can be obtained. Experimental results have verified its feasibility and effectiveness.
作者 孙正鼐 肖芳 张虹
机构地区 哈尔滨工业大学(威海)信息科学与工程学院
出处 《计算机应用》 CSCD 北大核心 2007年第6期1510-1512,共3页 journal of Computer Applications
关键词 独立分量分析 波达方向估计 快速独立分量分析 Independent Component Analysis （ICA） estimation of DOA fast independent component analysis
分类号 TP39 [自动化与计算机技术—计算机应用技术] TN311.23 [电子电信—物理电子学]
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参考文献9

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二级参考文献11

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计算机应用
2007年 第6期

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