摘要
提出了一种基于协变异矩阵的宽频段信号频率、二维到达角和极化参数联合估计的算法。该算法利用非均匀L型极化敏感阵列的时空数据构造了一个时空协变异矩阵,通过对其进行特征分解,并利用分解得到的特征值和特征矢量估计出宽频段信号的多维参数。在冲击噪声环境下,该算法能够精确地估计信号的多维参数,无需多维谱峰搜索和参数配对过程,并具有较好的信源参数兼并能力。计算机仿真结果验证了算法的有效性。
A new covariation matrix-based method is proposed for joint estimation of frequency, 2-D arrival angles and polarization parameters of wide-hand signals. Firstly a time-space covariation matrix is established by temporal and spatial data of a nonuniform L-shaped polarization sensitive array, then multidimensional parameters of wide-band signals can be obtained from its eigenvalues and corresponding eigenvectors. In case of impulsive noise, this algorithm can estimate precisely multidimensional parameters of signals, and does not need search for multidimensional spectrum peak with parameters pairing automatically. In addition, it can still estimate correctly multidimensional parameters of signals for signals having same parameters. Computer simulation confirms its effectiveness.
出处
《现代雷达》
CSCD
北大核心
2009年第8期43-46,共4页
Modern Radar
关键词
宽频段
冲击噪声
多维参数估计
协变异矩阵
wide frequency band
impulsive noise
multidimensional parameter estimation
covariation matrix
