极化域DOA估计与阵元姿态位置误差自校正

极化阵列波达方向估计的多重信号分类(multiple signal classification,MUSIC)算法可以利用数据的多线性关系减少需搜索参数,适用于跳频、宽带信号。电磁矢量传感器在空间单一位置接收的完备电磁信息,可以转化为任意姿态下接收信号。无需专用校正信号源,利用系统使用期间获得的参照信号,可得到各传感器位置误差参数。仿真实验表明,该方法可实现极化阵列阵元六维空间参数误差自动校正。

Polarization domain DOA estimation and automatic calibration of array element attitude and position errors

Using multi-dimensional linear structure of polarization array receiving data, the polarization domain multiple signal classification (MUSIC) algorithm is suitable for frequency hopping and wide band signals. The MUSIC algorithm for polarization array wave direction of arrival (DOA) estimation can use the multi-linear relationships of the data to reduce the need to search parameters. The complete electromagnetic information received by an electromagnetic vector sensor in a single location can be converted to the received signal under any attitude. Position errors are obtained according reference signals gotten during system usage, instead of dedicated calibration signal source. The system realizes automatic calibration of the array element six dimensional space parameters. The simulation experiment results show that the method is effective.