Parameter Sstimation Methods of Uni-Direction-ElectroMagnetic-Vector-Sensor
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摘要: 传统的单电磁矢量传感器(UEMVS)由3个电偶极子和3个磁环构成且方向图是全向的。但是当多个单电磁矢量传感器依附在共形载体上构成共形电磁矢量传感器阵列时，为了降低共形电磁矢量传感器阵列的副瓣，通常每个传感器的方向图是有向的。基于有向方向图的单电磁矢量传感器也称为单有向电磁矢量传感器(UDEMVS)。该文针对UDEMVS的参数估计问题，提出两种参数估计方法，分别是基于免搜索的旋转不变信号参数估计和矢量叉积(ESPRIT-VCP)方法以及基于网格搜索的多重信号分类和最小瑞利商(MUSIC-MRQ)方法。ESPRIT-VCP方法是根据旋转不变性和矢量叉积，获得4维参数的闭式解，MUSIC-MRQ方法根据信号和噪声子空间正交性与最小瑞利商，利用网格搜索得到2维角度估计值，进而结合信号回波模型得到2维极化的估计值。所提两种方法只利用了UDEMVS的6通道数据就能有效得到目标的参数估计结果，有较低的计算复杂度。仿真结果从角度和极化的估计性能出发验证了所提方法的有效性。
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关键词:
- 单有向电磁矢量传感器 /
- 参数估计 /
- 矢量叉积 /
- 最小瑞利商
Abstract: The traditional Uni-ElectroMagnetic-Vector-Sensor (UEMVS) is composed of three electric dipoles and three magnetic loops, and the pattern is omnidirectional. However, when multiple UEMVS are attached to the conformal platform to form a conformal UEMVS array, the pattern of each sensor is usually directional to reduce the sidelobe of the conformal UEMVS array. The UEMVS based on directional pattern is also called Uni-Direction-ElectroMagnetic-Vector-Sensor(UDEMVS). Considering the parameter estimation problem of UDEMVS, two parameter estimation methods, namely the Estimation of Signal Parameters via Rotational Invariant Technique and Vector Cross Product(ESPRIT-VCP) based on gridless search, and MUltiple SIgnal Classification and Minimum Rayleigh Quotient(MUSIC-MRQ) based on grid search, are proposed. The closed-form solutions of ESPRIT-VCP method can be obtained by the rotation invariance and vector cross product. The angle estimation results of MUSIC-MRQ method can be obtained by grid search and the minimum Rayleigh quotient model, and then the two-dimensional polarization parameters can be obtained by combining with the signal echo model. Using only six channel data of UDEMVS, the proposed two methods can effectively obtain the parameter estimation results, and have low computational complexity. Simulation results verify the effectiveness of the proposed method from the estimation performance of angle and polarization. -
图 6 分辨概率随SNR变化的结果，其中分辨门限
${\varDelta _\phi } = {\varDelta _\theta } = {\varDelta _\gamma } = {\varDelta _\eta } = 1^\circ$ -
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