扩展酉矩阵束算法实现稀疏可重构天线阵的优化设计

doi:10.7527/S1000-6893.2016.0191

Abstract

Abstract:

An innovative method, extended unitary matrix pencil (EUMP) algorithm, is proposed for the optimal design of sparse reconfigurable antenna arrays. The joint sparse optimization model is established with element positions and excitations as the design variables, and an extended block-Hankel matrix can be constructed according to sample data of the desired pattern. Then through centro-Hermitian matrix and unitary transformation, this complex-valued sample matrix can be transformed into real-valued one, of which smaller singular values are discarded to reduce the number of antenna elements. The generalized eigenvalues of equivalent matrix pencil are exploited to estimate the sparse array element positions and their corresponding excitations accurately. Simulation results validate that multiple-patterns can be reconfigured with non-uniform arrangements by this algorithm efficiently.

Key words: array signal processing, sparse array, pattern reconfigurable antenna, extended unitary matrix pencil (EUMP) method, eigenvalue decomposition

CLC Number:

V219
TN820

SHEN Haiou, WANG Buhong. Extended unitary matrix pencil algorithm for optimal design of sparse reconfigurable antenna arrays[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2016, 37(12): 3811-3820.

References

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Extended unitary matrix pencil algorithm for optimal design of sparse reconfigurable antenna arrays

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