摘要
本文研究利用矢量传感器阵列接收数据的高阶累计量区分独立和相干信号,进行参数估计.从矢量阵列信号高阶累积量任意数量的切片中估计多信号中的一个独立信号参数时,利用隔离向量选通目标信号,对其他信号进行隔离,提高了独立信号参数估计性能,信号源中可包含相干信号.独立信号的电场导向矢量与电磁导向矢量因垂直而内积为零,利用此关系可得到已虑除了所有独立信号的多个四阶累积量切片矩阵,相干信号存在于矩阵的信号子空间中.滤除独立信号估计相干信号参数,可提高相干信号参数估计性能.因可抑制任意方向,任意数量的独立干扰,即能抗饱和干扰,算法可作为电子对抗工具.仿真试验表明该方法有效.
We study DOA（ Direction Of Arrival） estimation of the independent and coherent signals with arrays of electromagnetic vector sensors. With a gating vector to select the target signal and isolate other signals,an independent signal parameter in multi-signals is estimated from multi-cumulant matrices,while other signals are suppressed. The inner product of electric and magnetic steering vectors is zero for perpendicular,which is used to filter all the independent signals in the fourthorder cumulants of the observed data. So only the coherent signals exist in the signal subspace of the cumulant matrices. The performance of multi-signals parameters estimation is improved by the separation of independent and coherent signals. Due to the suppression of any direction and number of independent interference,this algorithm has the ability to resist saturation interference and can be used as a tool for electronic warfare. The simulation experiment shows the method is stable and effective.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2017年第9期2296-2301,共6页
Acta Electronica Sinica
关键词
电磁矢量传感器
极化状态
波达方向
相干信号
electromagnetic vector sensor
state of polarization
DOA（Direction Of Arrival）
coherent signal
