摘要
在应用传统的空间谱(MUSIC)算法联合估计来波信号到达角(DOA)和极化参数的时候,需要进行四维谱峰搜索,计算量巨大。针对极化敏感阵列,采用降维MUSIC算法联合,可以估计信号的DOA和极化参数。利用极化矢量的范数为常数这一特点,采用Lagrange乘数法进行降维操作,转换为方位角和俯仰角的二维谱峰搜索,同时可估计出极化相角和极化幅角,大大降低了算法实现的运算量。仿真结果证明了算法的有效性。
Estimating the directions of arrival（DOA） and the polarization parameters of signals using the traditional spatial spectrum algorithm （MUSIC） requires s a four-dimensional peak search, which hence incures vast amount of computation. For the polarization sensitive array, the directions of arrival and the polarization parameters of signals are estimated by the reduced dimention MUSIC algorithm. A four-dimentional MUSIC search reduced the dimention to two-dimentional searches, by using Lagrange multiplier method, under the condition that the 2-norm of polarization function vector is constant. The algorithm estimates azimuth angle and elevation angle in two-dimentional searches and estimates the amplitude angle and the phase angle of polarization simultaneously, which grately reduces the amount of computation. The theoretical analysis and simulation results have verified the effectiveness of the proposed algorithm.
出处
《制导与引信》
2016年第4期48-53,共6页
Guidance & Fuze
关键词
极化阵列
降维算法
联合估计
polarization array
reduced dimention algorithm
joint estimation
