基于差分阵列的频控阵雷达距离-角度联合估计

doi:10.16182/j.issn1004731x.joss.201704025

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (4): 886-893.doi: 10.16182/j.issn1004731x.joss.201704025

基于差分阵列的频控阵雷达距离-角度联合估计

黄玲¹, 贺知明², 李想², 杨帆²

1.兰州理工大学电气工程与信息工程学院,甘肃兰州 730050;
2.电子科技大学电子工程学院,四川成都 611731

收稿日期:2015-06-15 修回日期:2015-08-10 出版日期:2017-04-08 发布日期:2020-06-03
作者简介:黄玲(1976-),女,甘肃民勤,博士,副教授,研究方向为雷达信号处理、先进探测与信息获取;贺知明(1972-),男,四川成都,博士,教授,博导,研究方向为高速实时数字信号处理、雷达与通信中的信号处理等。
基金资助:
甘肃省高校科研项目(2015A-043),甘肃省自然科学基金(1606RJZA145)

Frequency Diverse Array Radar for Range-Angle Estimation Based on Difference Co-array

Huang Ling¹, He Zhiming², Li Xiang², Yang Fan²

1. College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China;
2. College of Electronic Engineering, University of Electronic Science and Technology, Chengdu 611731, China

Received:2015-06-15 Revised:2015-08-10 Online:2017-04-08 Published:2020-06-03

摘要/Abstract

摘要： 提出一种频控阵雷达目标距离-角度联合估计的子阵方案,以解决基本频控阵雷达由于距离和方位角耦合而不能直接实现目标距离和方位角二维联合估计的问题。方案将整个阵列分为两个子阵列,且两个子阵列采用不同的频偏。为了扩展阵列孔径,子阵列均采用差分阵列结构。当采用接收数据的二阶统计量进行处理时,N个实际物理阵元可提供O(N²)维的自由度。由于两个子阵列对距离和角度维的解耦能力,目标可利用基于子空间的多信号分类算法被定位。目标估计性能是通过分析相对于信噪比的克拉美罗下限来检验的。最后,由数值仿真结果验证了方法的有效性。

关键词: 频控阵, 距离-角度估计, 差分阵列, Root-Music算法, ESPRIT算法

Abstract: Because of the coupling in range and angle responses, which could not estimate directly both the range and angle information of a target, a sub-array scheme of distance-angle joint estimation of a target for frequency diverse array (FDA) radar was proposed. The entire array was divided into two subarrays, which employed two different frequency offsets. For aperture extension, each subarray adopted difference co-array structure to provide O(N²)degrees of freedom by only N physical sensors when the second-order statistics of the received data was used. Therefore, the targets range and angle could be estimated directly with the subspace-based multiple signal classification algorithms for the decoupling capability of distance and angle dimensional. The estimation performance was examined by analyzing the Cramer-Rao lower bound (CRLB) versus signal-to-noise ratio (SNR). The effectiveness was verified by the numerical simulation results.

Key words: Frequency diverse array (FDA), range-angle estimation, difference co-array, Root-MUSIC, ESPRIT

中图分类号:

TN95

黄玲, 贺知明, 李想, 杨帆. 基于差分阵列的频控阵雷达距离-角度联合估计[J]. 系统仿真学报, 2017, 29(4): 886-893.

Huang Ling, He Zhiming, Li Xiang, Yang Fan. Frequency Diverse Array Radar for Range-Angle Estimation Based on Difference Co-array[J]. Journal of System Simulation, 2017, 29(4): 886-893.

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基于差分阵列的频控阵雷达距离-角度联合估计

Frequency Diverse Array Radar for Range-Angle Estimation Based on Difference Co-array

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