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。
Direction of arrival （DOA）estimation of the uniform linear array （ULA）is studied.A new method based on independent component analysis （ICA）and least square （LS）is proposed.Making use of imaginary part of the antenna array factor,a new model for received signals is built.Application feasibility of ICA is analyzed,and then the problem for obtaining amplitudes of original signals is converted to an LS problem to be solved.Steps of the new method are drawn,the angle equation for DOA estimation is displayed by math-ematic theory,and requirement for antenna array cell internal is given.To improve the precision,it could be re-alized by crude estimation is updated to refined estimation.Simulation results show the new method has better performance in low signal noise ratio,higher degree distinguishing capacity and shorter data length,which pro-vides a new means for DOA estimation.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2014年第9期1687-1695,共9页
Systems Engineering and Electronics
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
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
direction of arrival （DOA）
independent component analysis （ICA）
least square （LS）
arrayfactor
degree distinguishing capacity
