共享孔径交错稀疏阵列天线互耦误差建模与校正

doi:10.11959/j.issn.1000-0801.2018186

摘要/Abstract

摘要：

共享孔径交错稀疏阵列天线是实现多功能阵列天线的有效途径。现有的参数化互耦消除方法都是针对均匀阵列天线展开的，其研究的互耦矩阵都是规则的方阵，对共享孔径交错稀疏阵列天线的互耦矩阵模型并不适用。在充分考虑共享孔径交错稀疏阵列天线中子阵内互耦的“稀疏”和“方位依赖”的特殊性后，通过将常规的互耦矩阵扩展表示为“非方”的“增广互耦矩阵”来对交错稀疏阵列天线子阵内和子阵间的耦合效应进行建模，并通过“增广互耦矩阵”的参数化估计最终实现了共享孔径交错稀疏阵列天线互耦误差的建模与校正。仿真结果证实了所提方法的有效性和可行性。

关键词: 共享孔径, 交错稀疏阵, 阵列校正, 增广互耦矩阵

Abstract:

The shared aperture interleaved sparse array antenna is an effective way to implement a multi-function array antenna.The existing parameterized mutual coupling elimination methods are all developed for uniform array antennas.The mutual coupling matrix which is studied is a regular square matrix and is not applicable to the mutual coupling matrix model of the shared aperture interleaved sparse array antenna.After fully considering the speciality of “sparse” and “azimuth dependence” of mutual coupling in sub-arrays of a shared aperture interleaved sparse array antenna,the conventional mutual coupling matrix extension was expressed as “non-square” “enhanced mutual coupling matrix”.Coupling effects between subarrays and subarrays in interleaved arrays of sparse arrays were modeled,and the modeling and correction of mutual coupling errors in shared aperture sparse array antennas were finally achieved through the parameterization of “enhanced mutual coupling matrix”.Simulation results verify the effectiveness and feasibility of the proposed method.

Key words: shared aperture, interleaved sparse array, array correction, extended mutual coupling matrix

庄君明,李龙军. 共享孔径交错稀疏阵列天线互耦误差建模与校正[J]. 电信科学, 2018, 34(9): 105-110.

Junming ZHUANG,Longjun LI. Mutual coupling error modeling and correction of shared aperture interleaved sparse array antennas[J]. Telecommunications Science, 2018, 34(9): 105-110.

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参考文献 10

[1]	YEH C , LEOU M , UCCI D R . Bearing estimations with mutual coupling present[J]. IEEE Transactions on Antennas and Propagation, 1989,37(10): 1332-1335.
[2]	PERSSON P . Modeling conformal array antennas of various shapes using UTD[J]. Applied Computational Electromagnetics Society Journal, 2006,21(3): 305-317.
[3]	张佳佳, 陈辉, 李帅 ,等. 双圈均匀圆阵互耦自校正方法[J]. 电子与信息学报, 2017,39(11): 1539-1545. ZHANG J J , CHEN H , LI S ,et al. Self calibration for dual uniform circular array[J]. Journal of Electronic ＆ Information Technology, 2017,39(11): 1530-1545.
[4]	刘松, 廖勇, 谢远举 . 一种高效稳健的均匀圆阵互耦校正方法[J]. 电子学报, 2017,45(12): 2170-2176. LIU S , LIAO Y , XIE Y J . A high efficient and robust method for mutual coupling correction of uniform circular array[J]. Acta Electronica Sinica, 2017,45(12): 2170-2176.
[5]	司伟建, 吴迪, 陈涛 ,等. 一种阵列互耦矩阵与波达方向的级联估计方法[J]. 电子与信息学报, 2014,36(7): 1599-1604. SI W J , WU D , CHEN T ,et al. Cascade estimation method of mutual coupling matrix and direction of arrival[J]. Journal of Electronic ＆ Information Technology, 2014,36(7): 1599-1604.
[6]	王布宏, 王永良, 陈辉 ,等. 方位依赖阵元幅相误差校正的辅助阵元法[J]. 中国科学:技术科学, 2004,34(8): 906-918. WANG B H , WANG Y L , CHEN H ,et al. Array calibration of angularly dependent gain and phase uncertainties with carry on instrumental sensors[J]. Science in China Series E, 2004,34(8): 906-918.
[7]	HANSEN P C . Regularization tools:a MATLAB package for analysis and solution of discrete Ill-posed problems[J]. Numerical Algorithms, 1994(6): 1-35.
[8]	HANSEN P C . Regularization tools version 4.0 for MATLAB 7.3[J]. Numerical Algorithms, 2007,46(2): 189-194.
[9]	高峰, 和凯, 宋智源 ,等. 5G大规模紧耦合阵列天线研究[J]. 电信科学, 2015,31(5): 36-41. GAO F , HE K , SONG Z Y ,et al. Research on large scale antenna arrays for 5G mobile communication technology[J]. Telecommunications Science, 2015,31(5): 36-41.
[10]	方箭, 朱颖, 郑娜 ,等. 从WRC-19议题看5G与未来移动通信发展趋势[J]. 电信科学, 2016,32(6): 65-72. FANG J , ZHU Y , ZHENG N ,et al. A look at 5G and future mobile communication development trend from the point of WRC-19 agenda items[J]. Telecommunications Science, 2016,32(6): 65-72.