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基于3DT的空时自适应单脉冲参数估计算法
引用本文:于佳,沈明威,吴迪,朱岱寅.基于3DT的空时自适应单脉冲参数估计算法[J].航空学报,2016,37(5):1580-1586.
作者姓名:于佳  沈明威  吴迪  朱岱寅
作者单位:1. 河海大学 计算机与信息学院, 南京 211100; 2. 南京航空航天大学 雷达成像与微波光子技术教育部重点实验室, 南京 210016
基金项目:国家自然科学基金(61201459;61301212),江苏省自然科学青年基金(BK2012408),中央高校基本科研业务费专项资金(2012B0614),江苏省高校优势学科建设工程资助项目 National Natural Science Foundation of China(61201459;61301212),Natural Science Foundation for Young Scholars of Jiangsu Province of China(BK2012408),Fundamental Research Fands for the Central Universities(2012B0614),A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions
摘    要:空时自适应处理(STAP)是机载预警雷达抑制杂波和干扰的一项关键技术,而多普勒三通道联合自适应处理(3DT)是适合工程实现的降维(RD)STAP方法。STAP目标检测后还需进一步估计目标的角度参数,因此将自适应单脉冲(AM)技术引入3DT,提出了一种高精度联合估计目标速度与方位空间角的空时自适应单脉冲算法。理论分析与仿真实验结果表明,当目标多普勒频率偏离检测多普勒单元中心频率时,该算法能同时减少目标多普勒跨越损失和空时导引矢量失配损失,进而提高输出信杂噪比(SCNR),改善目标测角精度。

关 键 词:空时自适应处理  多普勒三通道联合自适应处理  杂波抑制  自适应单脉冲  参数估计  
收稿时间:2015-04-30
修稿时间:2015-10-15

Space-time adaptive monopulse parameter estimation algorithm based on 3DT
YU Jia,SHEN Mingwei,WU Di,ZHU Daiyin.Space-time adaptive monopulse parameter estimation algorithm based on 3DT[J].Acta Aeronautica et Astronautica Sinica,2016,37(5):1580-1586.
Authors:YU Jia  SHEN Mingwei  WU Di  ZHU Daiyin
Institution:1. College of Computer & Information, Hohai University, Nanjing 211100, China; 2. Key Laboratory of Radar Imaging and Microwave Photonics, Nanjing University of Aeronautics and Astronautics, Ministry of Education, Nanjing 210016, China
Abstract:Space-time adaptive processing (STAP) is the key technology of airborne early-warning radar to suppress clutter and interference, and the joint three-Doppler channel adaptive processing (3DT) is the well-established reduced-dimension (RD) STAP approach for engineering implementation. And, we still need to accurately estimate the target angle after STAP for radar target tracking. Therefore, in this paper, the adaptive monopulse (AM)technique is introduced into 3DT, and a high-precision space-time adaptive monopulse to jointly estimate the target velocity and location is presented. Theoretical analysis and simulation results demonstrate that, when the real target Doppler frequency deviates from the central frequency of the Doppler bin, the proposed algorithm can reduce the target Doppler crossing loss to improve the output signal to clutter and noise ratio (SCNR) and meanwhile mitigate the steering vector mismatch which definitely result in estimating the velocity and angle parameters more precisely.
Keywords:STAP  3DT  clutter suppression  adaptive monopulse  parameter estimation
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