独立分量分析联合最小二乘的DOA估计

发布时间：2018-02-21 18:10

本文关键词： 波达方向独立分量分析最小二乘阵列因子角度分辨力　出处：《系统工程与电子技术》2014年09期 　论文类型：期刊论文

【摘要】：研究了线性均匀阵列的信号波达方向(direction of arrival,DOA)估计问题。提出了一种基于独立分量分析(independent component analysis,ICA)联合最小二乘(least square,LS)处理的DOA估计新方法。通过天线阵列因子的虚部,建立新的信号接收模型,并以此进行ICA应用的可行性分析,将获取源信号的幅值转化为LS问题进行求解。设计了方法的实现步骤,推导了新方法用于DOA估计的角度公式,指出天线阵元间距应满足的条件,在提高精度方面可采用细估计对粗估计的更新来实现。仿真表明,所提方法具有较好的低信噪比性能、角度分辨力较高以及所需数据长度较短,为DOA估计问题提供了一种新的解决方式。
[Abstract]:In this paper, the direction of arrival direction of arrival (load) estimation of linear uniform arrays is studied. A new DOA estimation method based on independent component analysis (ICA) and least squares least square (LSs) processing is proposed. A new signal receiving model is established, and the feasibility of ICA application is analyzed. The amplitude of the source signal is transformed into LS problem to solve the problem. The realization steps of the method are designed, and the angle formula of the new method for DOA estimation is deduced. It is pointed out that the condition that the spacing of antenna array elements should be satisfied can be realized by updating the coarse estimation with fine estimation in improving accuracy. The simulation results show that the proposed method has better performance of low signal-to-noise ratio (SNR). The higher angular resolution and the shorter data length provide a new solution to the DOA estimation problem.
【作者单位】：空军工程大学理学院;空军工程大学装备管理与安全工程学院;空军工程大学防空反导学院;
【基金】：陕西省电子信息综合集成重点实验室项目(201107Y16) 军内武器系统科研项目(KJ2012184)资助课题
【分类号】：TN911.23

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