双插值拟合的共形电磁矢量传感器阵列解相干

doi:10.12305/j.issn.1001-506X.2022.08.02

摘要/Abstract

摘要：

共形电磁矢量传感器阵列依附在共形载体的几何表面上, 具有很高的分布自由度。但是不同传感器回波的极化矢量随着所依附的共形载体法线指向的变化而变化, 导致无法直接用平滑类算法解决相干信号的参数估计问题。本文创造性地利用双插值拟合思想, 将子阵列虚拟平移后得到一个同极化分量的插值子阵列, 然后对插值子阵列进行极化平滑估计目标参数。同时, 为了降低插值拟合误差对插值子阵列数据的影响, 提出了一种双插值拟合方法实现了回波解相干并有效估计了信号的二维角度和二维极化角。最后，数值结果分析了双插值拟合误差和解相干性能。

关键词: 共形电磁矢量传感器阵列, 插值拟合, 解相干, 参数估计

Abstract:

The conformal electromagnetic vector sensor (CEMVS) array can be attached to the geometric surface of the conformal carrier and has a high degree of distributed freedom. Since the polarization vectors of different sensors in the comformal CEMVS array change with the change of the normal direction of the attached conformal geometric structure, it is impossible to directly use smoothing algorithms to solve the parameter estimation problem of the coherent signal. In this paper, the interpolation fitting method is creatively used to obtain an interpolation sub-array with the same polarization component after virtual translation of the sub-array, and then the interpolation sub-array is employed by the polarization smoothing methods to estimate the target parameters. At the same time, in order to reduce the influence of the interpolation fitting error on the interpolation sub-array data, a double interpolation fitting (DIF) method is proposed to realize echo decoherence and effectively estimate the two-dimensional angle and the two-dimensional polarization angle of the signal respectively. Finally, the interpolation fitting error and decoherence performance of the DIF method are analyzed by numerical results.

Key words: conformal electromagnetic vector sensor array, interpolation fitting, decoherence, parameter estimation

中图分类号:

TN911.7

胡毅立, 赵永波, 陈胜, 牛奔. 双插值拟合的共形电磁矢量传感器阵列解相干[J]. 系统工程与电子技术, 2022, 44(8): 2393-2402.

Yili HU, Yongbo ZHAO, Sheng CHEN, Ben NIU. Decoherence of conformal electromagnetic vector sensor array by double interpolation fitting method[J]. Systems Engineering and Electronics, 2022, 44(8): 2393-2402.

图/表 10

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插值拟合误差	虚拟子阵列序号
插值拟合误差	1	2	3	4	5	6	7
第一次插值拟合误差(×10^－4)	0.433 2	0.434 0	0.435 8	0.438 6	0.442 3	0.447 1	0.453 0
第二次插值拟合误差(×10^－15)	0.434 0	0.435 6	0.435 3	0.434 9	0.436 2	0.433 6	0.435 2

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