摘要
现有的非圆信号波达方向(DOA)估计算法基本都是子空间分解类的,如NC-MUSIC、NC-ESPRIT算法等。基于子空间拟合类的非圆信号DOA估计算法研究的不多。文中依据非圆信号的DOA估计数学模型,提出了基于非圆信号的DOA估计最大似然算法。通过计算机仿真,将基于非圆信号的最大似然算法与常规最大似然算法及基于非圆信号的MUSIC算法进行了性能比较。结果表明,该算法提高了方位估计的估计性能,对于估计精度要求很高、用户比较密集的场合,能发挥很大的作用。
Most of the existing algorithms for DOA estimation of noncircular signals belong to the subspace eigenvalue decomposition algorithm, such as NC-MUSIC algorithm and NC-ESPRIT algorithm. Algorithms for DOA estimation of noncircular signals based on subspace fitting havent been researched very much. According to the data mode for DOA estimation based on noncircular signals, a maximum likelihood algorithm for DOA estimation of noncircular signals is proposed in the paper. The comparison between the NC-ML algorithm and the conventional ML algorithm is presented based on the computer emulation. And the same comparison is presented between the NC-ML algorithm and the NC-MUSIC algorithm. The efficacy shows that the NC-ML algorithm improves the estimation capacity. This algorithm can play an important role in the situation which is having lots of users and requiring high estimation precision.
出处
《现代雷达》
CSCD
北大核心
2011年第1期51-54,共4页
Modern Radar
基金
国家自然科学基金资助项目(60802053)
关键词
波达方向估计
非圆信号
最大似然算法
direction-of-arrival estimation
noncircular signals
maximum likelihood algorithm
