| 基于主分量分析的宽带DOA估计自聚焦算法 |
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| 引用本文： | 王进,赵拥军,王志刚.基于主分量分析的宽带DOA估计自聚焦算法[J].计算机工程与设计,2008,29(22). |
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| 作者姓名： | 王进 赵拥军 王志刚 |
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| 作者单位： | 解放军信息工程大学,信息工程学院,河南,郑州,450002 |
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| 摘 要： | 提出了一种基于主分量分析(PCA)的CSM类宽带DOA估计自聚焦算法,利用子空间投影变换将信号分离后应用PCA算法快速估计信号DOA,通过不断更新聚焦方向实现自聚焦.与已有算法相比,该算法不受DOA初始值的影响,有更好的聚焦精度.聚焦矩阵更新过程中无需再做奇异值分解,用PCA迭代算法替代特征分解过程,计算量小.仿真实验结果表明,该算法以较小的计算代价实现了较好的估计精度.
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| 关 键 词： | 波达方向估计 宽带信号 主分量分析 相关子空间法 自聚焦 |
Auto-focusing algorithm based on principal component analysis for wideband DOA estimation |
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| WANG Jin,ZHAO Yong-jun,WANG Zhi-gang.Auto-focusing algorithm based on principal component analysis for wideband DOA estimation[J].Computer Engineering and Design,2008,29(22). |
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| Authors: | WANG Jin ZHAO Yong-jun WANG Zhi-gang |
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| Affiliation: | WANG Jin,ZHAO Yong-jun,WANG Zhi-gang(Institute of Information Engineering,PLA Information Engineering University,Zhengzhou 450002,China) |
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| Abstract: | A CSM based auto-focusing algorithm for wideband DOA estimation using principal component analysis(PCA) is proposed.Signals are separated by means of subspace projection and iterative algorithm based on PCA is used to estimate its DOA.While compared with the previous works,it is more robust to initial DOA estimation errors.Since no more SVD is needed during iteration and PCA is used instead of eigendecomposition,the computational burden is reduced.The experimental results show that proposed method has bette... |
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| Keywords: | DOA estimation wideband signal principal component analysis coherent signal-subspace method auto-focusing |
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