Sparse Nested Arrays With Spatially Spread Orthogonal Dipoles: High Accuracy Passive Direction Finding With Less Mutual Coupling

He Jin; Li Linna; Shu Ting

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Sparse Nested Arrays With Spatially Spread Orthogonal Dipoles: High Accuracy Passive Direction Finding With Less Mutual Coupling

机译：具有空间展开正交偶极子的稀疏嵌套阵列：高精度的被动方向，使用较少的相耦合

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摘要

In sensor array processing, the minimum sensor/element-spacing is usually restricted within a half-wavelength in order to avoid estimation aliasing. This would cause sensor/element mutual coupling when antenna-electromagnetics are considered. Based on the recently proposed nested array (NA) concept, we present a new type of NA called sparse nested spatially spread orthogonal dipole array (SNODA) to realize underdetermined direction finding with less mutual coupling. In SNODA, the sensor/element-spacing can be extended to be much higher than a half-wavelength so that the effect of sensor coupling will be much reduced. The direction estimation ambiguities caused by aperture extension is resolved by combining both spatial and element responses of spread orthogonal dipoles. Matlab code for reproduction of the results is available at https://github.com/jinhesjtu/SNODA-DF.git.

机译：在传感器阵列处理中，最小传感器/元件 - 间隔通常限制在半波长内，以避免估计锯齿。当考虑天线 - 电磁器时，这将导致传感器/元素相互耦合。基于最近提出的嵌套阵列（NA）概念，我们介绍了一种新型的NA称为稀疏嵌套空间展开正交偶极阵列（SNODA），以实现不足相互耦合的无数方向。在SnoDA中，传感器/元件 - 间隔可以扩展到远高于半波长，从而传感器耦合的效果将大大降低。通过组合扩展正交偶极子的空间和元素响应来解决由光圈扩展引起的方向估计含糊不清。 MATLAB用于再现结果的代码可在https://github.com/jinhesjtu/snoda-df.git上获得。

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《IEEE Transactions on Aerospace and Electronic Systems》 |2021年第4期|2337-2345|共9页
作者
He Jin; Li Linna; Shu Ting;
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作者单位

Shanghai Jiao Tong Univ Shanghai Key Lab Intelligent Sensing & Recognit Sch Elect Informat & Elect Engn Shanghai 200240 Peoples R China;

Shanghai Aerosp Elect Commun Equipment Res Inst Shanghai 201109 Peoples R China;

Shanghai Jiao Tong Univ Shanghai Key Lab Intelligent Sensing & Recognit Sch Elect Informat & Elect Engn Shanghai 200240 Peoples R China;

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正文语种 eng
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关键词
Mutual coupling; Sensor arrays; Couplings; Estimation; Signal processing algorithms; Mathematical model; Spatial resolution; Array signal processing; dipole antennas; direction-finding; mutual coupling; nested array (NA); sparse array;

机译：相互耦合;传感器阵列;估计;信号处理算法;数学模型;空间分辨率;阵列信号处理;偶极天线;方向查找;相互耦合;嵌套阵列（NA）;稀疏阵列;稀疏阵列;

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1. DIRECTION-OF-ARRIVAL ESTIMATION IN THE PRESENCE OF MUTUAL COUPLING BASED ON JOINT SPARSE RECOVERY [J] . Wang Libin, Cui Chen 电子科学学刊（英文版） . 2012,第005期
2. DIRECTION-OF-ARRIVAL ESTIMATION IN THE PRESENCE OF MUTUAL COUPLING BASED ON JOINT SPARSE RECOVERY [J] . Wang Libin, Cui Chen 电子科学学刊：英文版 . 2012,第005期
3. Direction finding for two-dimensional incoherently distributed sources with Hadamard shift invariance in non-uniform orthogonal arrays [J] . Zhengliang DAI, Weijia CUI, Daming WANG, 中国航空学报（英文版） . 2018,第012期
4. Estimating DOA and polarization with spatially spread loop and dipole pair array [J] . Lanmei Wang, Zhihai Chen, Guibao Wang, 系统工程与电子技术（英文版） . 2015,第001期
5. Joint 2D-DOA and polarization estimation for sparse nonuniform rectangular array composed of spatially spread electromagnetic vector sensor [J] . MA Huihui, TAO Haihong 系统工程与电子技术（英文版） . 2020,第006期
6. Sparse Nested Arrays With Spatially Spread Square Acoustic Vector Sensors for High-Accuracy Underdetermined Direction Finding [J] . He Jin, Li Linna, Shu Ting IEEE Transactions on Aerospace and Electronic Systems . 2021,第4期

机译：具有空间扩展的方形声学矢量传感器的稀疏嵌套阵列，用于高精度是无数的方向发现
7. Direction of arrival estimation with a sparse uniform array of orthogonally oriented and spatially separated dipole-triads [J] . Zheng G., Wu B., Ma Y., Radar, Sonar & Navigation, IET . 2014,第8期

机译：稀疏均匀排列的正交定向且空间分离的偶极三元组的到达方向估计
8. Direction-Finding and Polarization Estimation with Spread Orthogonal Loop and Dipole Arrays [J] . Tang Mang, Shu Ting, He Jin, Circuits, systems and signal processing . 2021,第12期

机译：用展开正交环和偶极子阵列的方向查找和偏振估计
9. Mis-modeling and mis-correction of mutual coupling in an antenna array — A case study in the context of direction finding using a linear array of identical dipoles [C] . Yue Ivan Wu, Gerald Pacaba Arada, Wai-Yip Tam, 2016 IEEE International Conference on Signal and Image Processing . 2016

机译：天线阵列中互耦合的误建模和误校正—在使用相同偶极子线性阵列进行测向的情况下的案例研究
10. Effects of mutual coupling on the direction-finding performance of a linear array in a multiple-source environment using the method of moments. [D] . Shau, Derhua. 1988

机译：使用矩量法在多源环境中互耦合对线性阵列测向性能的影响。
11. An Array Switching Strategy for Direction of Arrival Estimation with Coprime Linear Array in the Presence of Mutual Coupling [O] . Jinqing Shen, Yi He, Jianfeng Li 2020

机译：互耦条件下共质数线性阵列到达方向估计的阵列切换策略
12. Mis-modeling and mis-correction of mutual coupling in an antenna array - a case study in the context of direction finding using a linear array of identical dipoles [O] . Wu Y, Arada GP, Tam WY, 2016

机译：天线阵列中互耦合的误建模和误校正-使用相同偶极子线性阵列进行测向的案例研究
13. Direction Finding With Mutually Orthogonal Antennas [R] . Chick, D. F. 2011

机译：相互正交天线的测向

Sparse Nested Arrays With Spatially Spread Orthogonal Dipoles: High Accuracy Passive Direction Finding With Less Mutual Coupling

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