双正交电磁矢量阵列低角估计方法研究

发布时间：2018-07-10 04:24

本文选题：双正交电磁矢量阵列 + 低仰角角度估计　；参考：《雷达科学与技术》2017年02期

【摘要】：电磁矢量阵列由于利用了信号的极化信息,能显著提高阵列的环境感知性能。建立双正交电磁矢量阵列低仰角测高多径模型,提出利用极化平滑与空间平滑结合的预处理方法对直达波和多径进行解相干,同时利用极化和空域信息提高低仰角角度估计性能;并推导低仰角多径模型下双正交电磁矢量阵列的Cramer-Rao界,分析极化参数对测角性能的影响。仿真实验结果表明,低角情形下电磁矢量阵列相较于标量阵列测角性能更优;所提的极化空间平滑算法由于结合了极化平滑和空间平滑的优点,较现有方法解相干效果更好,精度更高,特别适用于直达波和多径极化状态差异较小的低仰角情形。
[Abstract]:Because of the polarization information of the signal, the electromagnetic vector array can significantly improve the environmental sensing performance of the array. A multipath model for low elevation measurement of biorthogonal electromagnetic vector array is established. A preprocessing method combining polarization smoothing and spatial smoothing is proposed for direct wave and multipath decoherence. At the same time, the low elevation angle estimation performance is improved by using polarization and spatial information, and the Cramer-Rao bound of biorthogonal electromagnetic vector array under low elevation multipath model is derived, and the influence of polarization parameters on angle measurement performance is analyzed. Simulation results show that the performance of electromagnetic vector array is better than that of scalar array at low angle, and the proposed polarization space smoothing algorithm is better than the existing methods because of combining the advantages of polarization smoothing and spatial smoothing. The accuracy is higher, especially in the case of low elevation angle where the difference between direct wave and multipath polarization is small.
【作者单位】：西安电子科技大学雷达信号处理国家重点实验室;西安电子科技大学信息感知技术协同创新中心;
【基金】：国家自然科学基金(No.61571344) 上海航天科技创新基金(No.SAST2015071,SAST2015064)
【分类号】：TN911.7

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