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共享孔径交错稀疏阵列天线互耦误差建模与校正 被引量:1

Mutual coupling error modeling and correction of shared aperture interleaved sparse array antennas
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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。 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.
作者 庄君明 李龙军 ZHUANG Junming;LI Longjun(Fujian Normal University,Fuzhou 350117,China;No.94923 Army of PLA,Wuyishan 354301,China)
出处 《电信科学》 2018年第9期105-110,共6页 Telecommunications Science
关键词 共享孔径 交错稀疏阵 阵列校正 增广互耦矩阵 shared aperture interleaved sparse array array correction extended mutual coupling matrix
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  • 1齐崇英,王永良,张永顺,张明智.多子阵互耦条件下的一维波达方向估计及互耦自校正[J].电子与信息学报,2006,28(5):909-914. 被引量:9
  • 2[1]Schmidt R O.Multilinear atray manifoldinterpolation.IEEE Trans on SP Vol 40 No.4,857~866,Apr 1992
  • 3[2]Weiss A J, Friedlander B. Manifold interpolation for diversely polarized arrays. IEE Proc Radar, Sonar, and Navigation Vol 141 No. 1, 19~24, Feb 1994
  • 4[3]Hung E. Matrix-Construction calibration method for antenna arrays. IEEE Trans on AES Vol 36 No.3,819~828, July 2000
  • 5[4]Ng B C, See C M S. Sensor-array calibration using a maximum-likelihood approach. IEEE Trans AP Vol 44No.6 Jun 1996, 827~835
  • 6[5]Stavropoulos K, Manikas A. Array calibration in the presence of unknown sensor characteristics and mutual coupling. In: Proceedings of the EUSIPCO 2000, Vol Ⅲ, 417~1420 Finland
  • 7[6]Zhang Ming, Zhu Zhao-Da. DOA estimation with sensor gain, phase and position perturbations. Proc,IEEE NAECON 1993, 67~69
  • 8[7]Fistas N, Manikas A. A New General Global Array Calibration Method. ICASSP 1994, Vol 4, 73~76
  • 9[8]Weiss A J, Friedlander B. Self-Calibration for High-Resolution Array Processing. in Advances in Spectrum and Array Processing, Vol Ⅱ, Haykon S, ed., Ch. 10, Englewood Cliffs, NJ: Prentice-Hall, 1991
  • 10[9]Friedlander B, Weiss A J. Direction finding in the presence of mutual coupling. IEEE Trans AP Nov 39 No.3,273~284, Mar 1991

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