发射波束域MIMO-STAP雷达发射接收联合设计方法

TN974; 研究了信号相关杂波背景下机载多输入多输出(multiple-input multiple-output,MIMO)雷达发射波束形成和接收滤波器的联合设计问题,建立了机载MIMO雷达发射波束域空时自适应处理(space-time adaptive processing,STAP)信号模型.为了提升杂波环境下目标的检测性能,通过最大化输出信干噪比构建了发射波束形成和接收滤波器的联合设计问题;然后,设计了一种新的基于优化最小化(majorization-minimization,MM)框架的迭代优化算法来解决联合设计问题.该算法通过合理寻找目标函数的下界可以有效提升算法的收敛速度并降低...

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Published in	国防科技大学学报 Vol. 46; no. 2; pp. 139 - 145
Main Authors	李志汇, 潘继飞, 周青松, 毛云祥, 刘方正, 石树杰
Format	Journal Article
Language	Chinese
Published	国防科技大学电子对抗学院,安徽合肥 230037 2024
Subjects	空时自适应处理多输入多输出雷达 receive filter 接收滤波器联合设计 multiple-input multiple-output radar transmit beamforming space-time adaptive processing 发射波束形成输出信干噪比 joint design output signal-to-interference-plus-noise ratio
Online Access	Get full text
ISSN	1001-2486
DOI	10.11887/j.cn.202402014

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Abstract	TN974; 研究了信号相关杂波背景下机载多输入多输出(multiple-input multiple-output,MIMO)雷达发射波束形成和接收滤波器的联合设计问题,建立了机载MIMO雷达发射波束域空时自适应处理(space-time adaptive processing,STAP)信号模型.为了提升杂波环境下目标的检测性能,通过最大化输出信干噪比构建了发射波束形成和接收滤波器的联合设计问题;然后,设计了一种新的基于优化最小化(majorization-minimization,MM)框架的迭代优化算法来解决联合设计问题.该算法通过合理寻找目标函数的下界可以有效提升算法的收敛速度并降低算法的运行时间.此外,与传统的相控阵雷达和MIMO雷达相比,优化后的发射波束形成和接收滤波器可以显著提升输出信干噪比,仿真实验验证了所提方法的有效性.
AbstractList	TN974; 研究了信号相关杂波背景下机载多输入多输出(multiple-input multiple-output,MIMO)雷达发射波束形成和接收滤波器的联合设计问题,建立了机载MIMO雷达发射波束域空时自适应处理(space-time adaptive processing,STAP)信号模型.为了提升杂波环境下目标的检测性能,通过最大化输出信干噪比构建了发射波束形成和接收滤波器的联合设计问题;然后,设计了一种新的基于优化最小化(majorization-minimization,MM)框架的迭代优化算法来解决联合设计问题.该算法通过合理寻找目标函数的下界可以有效提升算法的收敛速度并降低算法的运行时间.此外,与传统的相控阵雷达和MIMO雷达相比,优化后的发射波束形成和接收滤波器可以显著提升输出信干噪比,仿真实验验证了所提方法的有效性.
Abstract_FL	Joint design of transmit beamforming and receiving filter for airborne MIMO(multiple-input multiple-output)radar in the background of signal-dependent clutter was studied.Airborne MIMO radar transmit beamspace STAP(space-time adaptive processing)signal model was established.In order to ensure the target detection performance in clutter environment,the SINR(signal-to-interference-plus-noise ratio)was maximized and a new iterative optimization algorithm based on the MM(maximization-minimization)framework was designed to solve the joint design problem.By properly finding the lower bound of the objective function,the convergence speed of the proposed algorithm was effectively improved and the running time of the proposed algorithm was reduced.In addition,compared with the traditional phased array radar and MIMO radar,the optimized transmit beamforming and receive filter can significantly improve the output SINR.Simulation results demonstrate the effectiveness of the proposed method.
Author	李志汇毛云祥刘方正周青松石树杰潘继飞
AuthorAffiliation	国防科技大学电子对抗学院,安徽合肥 230037
AuthorAffiliation_xml	– name: 国防科技大学电子对抗学院,安徽合肥 230037
Author_FL	LIU Fangzheng LI Zhihui PAN Jifei ZHOU Qingsong SHI Shujie MAO Yunxiang
Author_FL_xml	– sequence: 1 fullname: LI Zhihui – sequence: 2 fullname: PAN Jifei – sequence: 3 fullname: ZHOU Qingsong – sequence: 4 fullname: MAO Yunxiang – sequence: 5 fullname: LIU Fangzheng – sequence: 6 fullname: SHI Shujie
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Keywords	空时自适应处理多输入多输出雷达 receive filter 接收滤波器联合设计 multiple-input multiple-output radar transmit beamforming space-time adaptive processing 发射波束形成输出信干噪比 joint design output signal-to-interference-plus-noise ratio
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Snippet	TN974; 研究了信号相关杂波背景下机载多输入多输出(multiple-input multiple-output,MIMO)雷达发射波束形成和接收滤波器的联合设计问题,建立了机载MIMO雷达发射波束域空时自适应处理(space-time adaptive...
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Title	发射波束域MIMO-STAP雷达发射接收联合设计方法
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