西安电子科技大学学报

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静态和差波束匹配的空时自适应处理方法

刘斌1,2;何广军1;冯有前2;杨科3;许京伟4   

  1. (1. 空军工程大学 防空反导学院, 陕西 西安 710051;
    2. 空军工程大学 理学院, 陕西 西安 710051;
    3. 上海无线电设备研究所, 上海 200090;
    4. 西安电子科技大学 雷达信号处理国家重点实验室,陕西 西安 710071)
  • 收稿日期:2016-05-26 出版日期:2017-06-20 发布日期:2017-07-17
  • 作者简介:刘斌(1991-),男,空军工程大学硕士研究生,E-mail: 277306879@qq.com

Static sum-and-difference beam matched STAP method

LIU Bin1,2;HE Guangjun1;FENG Youqian2;YANG Ke3;XU Jingwei4   

  1. (1. College of Air and Missile Defense, Air Force Engineering Univ., Xi 'an 710051, China;
    2. College of Science, Air Force Engineering Univ., Xi 'an 710051, China;
    3. Shanghai Radio Equipment Research Institute, Shanghai 200090, China;
    4. National Key Lab. of Radar Signal Processing, Xidian Univ., Xi'an 710071, China)
  • Received:2016-05-26 Online:2017-06-20 Published:2017-07-17

摘要:

传统空时自适应处理方法的和差波束参数估计面临角度多普勒参数耦合的问题,当存在目标信号污染时,参数估计性能急剧恶化.笔者提出了一种基于静态和差波束匹配的空时自适应处理方法,通过采用幅度和相位响应的联合约束,使得自适应后的和差波束逼近静态和差波束主瓣区域的幅度和相位响应特性,进而实现自适应和差波束主瓣保形,克服目标污染等因素造成的主瓣畸变现象,同时保持角度多普勒无耦合的特性.仿真实验验证了所提方法的有效性.

关键词: 空时自适应处理, 和差波束形成, 角度多普勒估计, 幅度和相位响应

Abstract:

In traditional space-time adaptive processing (STAP) radars, angle and Doppler parameters are coupled with the adaptive sum and difference technique. Moreover, the parameter estimation performance degrades dramatically if the target signal is included in the training support. In this paper, we propose a novel static sum-and-difference beams matched STAP method. In our approach, the constraint is designed by incorporating both the magnitude and phase responses. The adapted beampattern is forced to be close to that of the static sum-and-difference beams in magnitude and phase response, and thus the mainbeam of the adaptive sum-and-difference beams is well maintained. As a result, the target cancelation due to the presence of the desired target in the training support can be alleviated. The angle and Doppler parameters are decoupled since the static sum-and-difference beams are independent in angle and Doppler domains. Simulation examples are presented to demonstrate the effectiveness of the proposed method.

Key words: space-time adaptive processing, sum-and-difference beams, angle Doppler parameters estimation, magnitude and phase responses