首页|基于混合阵列的DOA与极化信息联合估计

基于混合阵列的DOA与极化信息联合估计

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针对被动雷达导引头抗诱饵应用中极化敏感阵列因阵元形式多样化及阵列三维放置而造成模型不匹配的问题,针对线极化、左右旋圆极化、椭圆极化阵元组成的混合三维阵列,提出了混合立体三维极化敏感阵列测向模型.考虑到每一个阵元都可能具有不同的指向和极化敏感性,首先在各阵元局部坐标系中利用极化敏感矩阵表达任意极化阵元的极化敏感程度,再使用坐标旋转矩阵将其变换到全局坐标系中,从而建立阵列极化敏感性统一表达模型,并提出一种基于该模型的秩亏极化多重信号分类(MUSIC)算法.在抗诱饵条件下,对均匀、非均匀混合极化阵列与其他阵列的秩亏极化MU-SIC 算法测角分辨力和单目标测角精度进行了仿真探究,并给出标量阵列与矢量阵列测向的选择原则.仿真结果表明,混合极化阵列在能达到同等测角精度的前提下,有效提高了测角分辨力与测角稳定性,且非均匀混合极化阵列具有很大的抗诱饵应用潜力.
Joint Estimation of DO A and Polarization Information Based on Hybrid Arrays
In order to solve the problem of mismatch caused by the diversity of array elements and the placement of array in three dimensions,a hybrid three-dimensional polarization sensitive array direction finding model is proposed for a hybrid three-dimensional array composed of linear polarization,left-right spin polarization and elliptical polariza-tion array.Considering that each array may have different orientation and polarization sensitivity,the polarization sensi-tivity matrix is used to express the polarization sensitivity of arbitrary polarization array elements in each array local co-ordinate system,and then the coordinate rotational matrix is used to transform it into global coordinate system,so a uni-form expression model of array polarization sensitivity is established and an rank-deficit polarization multiple signal clas-sification(MUSIC)algorithm based on this model is proposed.Under the condition of anti-bait,the angular resolution and the angular accuracy of the MUSIC algorithm for uniform and non-uniform hybrid polarization array and other arrays are simulated,and the selection principles for scalar array and vector array are presented.Simulation results show that the hybrid polarized array can improve the resolution and stability of angle measurement effectively under the same ac-curacy,and the non-uniform hybrid polarized array has great potential for decoy application.

polarization sensitive arrayunified model of hybrid arrayrank-deficit polarization MUSIC algo-rithmangular resolutionanti-bait

梁义鲁、司伟建、李锁兰、曲明超、马万禹

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哈尔滨工程大学信息与通信工程学院,哈尔滨 150001

哈尔滨工程大学先进船舶通信与信息技术工业和信息化部重点实验室,哈尔滨 150001

中国运载火箭技术研究院,北京 100076

极化敏感阵列 混合阵列统一模型 秩亏极化MUSIC算法 测角分辨力 抗诱饵

国家自然科学基金项目航空科学基金项目

623711522019010P6001

2024

航空兵器
中国空空导弹研究院

航空兵器

CSTPCD北大核心
影响因子:0.453
ISSN:1673-5048
年,卷(期):2024.31(3)
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