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混合阵列误差校正与快速极化MUSIC算法

Error correction of hybrid array and fast polarization MUSIC algorithm

  • 摘要: 为解决通道不一致性对传统极化敏感阵列长矢量模型的测向精度影响及传统长矢量多重信号分类( multiple signal classification, MUSIC)算法实时性不高的问题,本文在传统极化敏感测向系统基础上,在阵列中心增加一个标量平面螺旋天线,利用其天线方向图的增益稳定性,作为内部源对其他矢量通道不一致性进行实时校正. 然后将结合标量圆阵和快速傅里叶变换(fast Fourier transform, FFT)的快速MUSIC算法推广到矢量阵列,提出降维快速极化MUSIC算法. 仿真结果验证了此误差校正方法的有效性,且快速算法在保证测角精度前提下有效提高了算法实时性. 本文为极化敏感阵列测向提供了一种误差校正方法及一种快速实用的测向算法.

     

    Abstract: In order to solve the influence of channel inconsistency on the direction finding accuracy of the long vector model of the traditional polarization sensitive array and the low real-time performance of the traditional long vector multiple signal classification (MUSIC) algorithm. Firstly, a planar spiral antenna was added in the center of the array based on the traditional polarization sensitive direction finding system, as an internal source, the inconsistency of other vector channels was corrected efficiently. Then, the fast music algorithm of scalar circular array combined with fast Fourier transform (FFT) was extended to vector array, and a reduced dimension fast polarization MUSIC algorithm was proposed. The simulation results verify the effectiveness of the error correction method and the fast algorithm can effectively improve the real-time performance of the algorithm on the premise of ensuring the angle measurement accuracy. This paper provides an error correction method and a fast and practical direction finding algorithm for polarization sensitive array direction finding.

     

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