雷达学报2021，Vol.10Issue(6)：811-821,11.DOI:10.12000/JR21197
共形FDA-MIMO雷达降维目标参数估计研究
Reduced-dimension Target Parameter Estimation For Conformal FDA-MIMO Radar
摘要
Abstract
Frequency Diverse Array (FDA) Multiple-Input Multiple-Output (MIMO) radar equipped with a FDA can possess beam patterns that are dependent on range, angle, and time, and it can increase the degree of freedom. This paper introduces a conformal array attached to the surface of the carrier, the array can reduce the aerodynamic impact on the carrier and reduce the cross section of the FDA-MIMO radar. First, the conformal FDA-MIMO measurement model is formulated, and a Cramér-Rao Lower Bound (CRLB) is derived to evaluate the parameter estimation performance. To avoid the three-dimensional search of the traditional three-dimensional MUltiple SIgnal Classification (3D-MUSIC) algorithm, a Reduced-Dimension MUltiple SIgnal Classification (RD-MUSIC) algorithm is proposed for parameter estimation. The simulation results demonstrate that the proposed algorithm has a slightly lower estimation accuracy than the 3D-MUSIC algorithm but a much lower computational complexity. In addition, the proposed algorithm has better range estimation performance for multiple targets than the 3D-MUSIC algorithm.关键词
共形阵/频控阵多输入多输出/参数估计/三维多重信号分类/降维多信号分类Key words
Conformal array/FDA-MIMO/Parameter estimation/3D-MUSIC/RD-MUSIC分类
信息技术与安全科学引用本文复制引用
陈慧,田湘,李子豪,姜欣睿..共形FDA-MIMO雷达降维目标参数估计研究[J].雷达学报,2021,10(6):811-821,11.基金项目
The National Natural Science Foundation of China(61571081),Sichuan Science and Technology Program(18ZDYF2551),Fundamental Research Funds for the Central Universities(ZYGX2018J005) （61571081）
