| 引用本文: | 袁晓东,万建伟,程 翥,等.基于直接数据域自适应算法的相干信号DOA估计.[J].国防科技大学学报,2012,34(3):131-135.[点击复制] |
| YUAN Xiaodong,WAN Jianwei,CHENG Zhu,et al.DOA estimation of correlated signals based on the adaptive algorithm in direct data domain[J].Journal of National University of Defense Technology,2012,34(3):131-135[点击复制] |
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| 基于直接数据域自适应算法的相干信号DOA估计 |
| 袁晓东1,2, 万建伟1, 程 翥1, 石斌斌3, 许可1 |
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(1.国防科技大学 电子科学与工程学院，湖南 长沙 410073;2.中国人民解放军94782部队，浙江 杭州 310021;3.空军预警学院 空天基预警监视装备系，湖北 武汉 430019)
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| 摘要: |
| 利用直接数据域自适应算法的稳态权值代替噪声子空间构建空间谱，构造了一种超分辨波达方向（DOA）估计方法。为了解决谱峰搜索时的伪峰问题，采用参考阵元轮换得到多组线性无关稳态权值，逼近噪声子空间，能有效去除伪峰。针对相干信号的DOA估计，进一步提出了直接数据域取对称共轭向量的解相干方法。相比子空间分解类算法，本文算法不需估计信号源数目和协方差矩阵、不需特征分解，复杂度仅为O(MP)，同时能有效完成解相干处理。 |
| 关键词: DOA估计 直接数据域 自适应算法 参考阵元轮换 低复杂度 |
| DOI： |
| 投稿日期：2011-07-21 |
| 基金项目:国家自然科学基金资助项目（61002022） |
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| DOA estimation of correlated signals based on the adaptive algorithm in direct data domain |
| YUAN Xiaodong1,2, WAN Jianwei1, CHENG Zhu1, SHI Binbin3, Xu Ke1 |
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(1.College of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;2.94782 Force of PLA, Hangzhou 310021, China;3.Department of Air/Space based Earlywarning Surveillance Equipment, Air Force Radar Academy,Wuhan 430019, China)
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| Abstract: |
| A novel method for high resolution direction-of-arrival (DOA) estimation is proposed. The novel approach constructs the spatial spectrum by utilizing the steady-state weights of the adaptive algorithm in direct data domain instead of the noise subspace. The proposed method can solve the false peak problem effectively in the spectral peak search. The noise subspace can be closed with several groups of linear non-correlated steady-state weights from utilizing different reference signals. A practical method for the DOA estimation of correlated signals is also presented, which utilizes the symmetric conjugate vector in direct data domain. Compared with the conventional method, the proposed approach does not need to estimate the source number and the covariance matrix. As it does not need the eigendecomposition and only has a computational complexity of O(MP), it is a practical method for DOA estimation of correlated signals. |
| Keywords: DOA estimation direct data domain adaptive algorithm different reference signals low complexity |
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