自适应空域选择滤波分置阵列角度解模糊方法

doi:10.16180/j.cnki.issn1007-7820.2021.06.008

摘要/Abstract

摘要：

分置式阵面雷达被广泛应用在一体化武器平台中。为解决长基线分置式阵面雷达主波束栅瓣造成的跟踪时目标角度模糊的问题,文中提出了一种自适应空域选择滤波的方法。该方法利用分置单阵面和、差信号构造空域滤波器优化接收方向图,在对栅瓣有效抑制的前提下,保证接收波束主瓣功率与波束宽度的稳健,实现了角度解模糊,保证了目标角度估计的准确性。针对提出的方法分别进行了暗室与外场试验,并对接收方向图与目标跟踪性能进行测试。结果表明文中方法可有效抑制栅瓣,保证跟踪中参数估计的稳健,从而改善分置式阵列雷达的目标跟踪性能。

关键词: 火控雷达, 分置阵列, 栅瓣抑制, 角度解模糊, 空域滤波, 波达方向估计, 目标跟踪, 方向图优化

Abstract:

Distributed sub-array radar has been widely used in the integrated weapon platform. In order to solve the problem of target angle ambiguity caused by the main beam of long baseline distributed sub-array radar, an adaptive and differential beam spatial selective filtering method is proposed. In this method, the spatial filter is constructed by the sum and difference signals of the separated single array to optimize the receiving pattern. On the premise of effectively suppressing the gate lobe, the robustness of the main lobe power and the beam width of the receiving beam are guaranteed, the angle fuzzy suppression is realized, and the accurate estimation of the target angle is guaranteed. The results show that the proposed method can effectively suppress the grating lobe and ensure the accuracy of parameter estimation in tracking, thus improving the continuity and stability of the distributed array radar in target tracking.

Key words: fire-control radar, distributed sub-array antenna, grating lobe restrain, angle disambiguation, spatial selection filter, direction of arrival estimation, target tracking, pattern optimization

中图分类号:

TN958

姜婕. 自适应空域选择滤波分置阵列角度解模糊方法[J]. 电子科技, 2021, 34(6): 45-49.

JIANG Jie. Angle Disambiguation Algorithm for Distributed Sub-Array Antennas Radar Based on Adaptive Spatial Selection Filter[J]. Electronic Science and Technology, 2021, 34(6): 45-49.

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