基于线性约束的空时自适应单脉冲技术

王璐; 苏志刚; 吴仁彪

doi:10.3724/SP.J.1146.2009.01293

基于线性约束的空时自适应单脉冲技术

doi: 10.3724/SP.J.1146.2009.01293

基金项目:

国家自然科学基金(60736009，60872110)资助课题

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- 被引次数: 0
出版历程
- 收稿日期: 2009-09-29
- 修回日期: 2010-02-09
- 刊出日期: 2010-10-19

Linear-constraint-Based Space-time Adaptive Monopulse Processing Technique

摘要

摘要: 机载雷达平台的空时自适应处理(Space-Time Adaptive Processing，STAP)通常用于对地面运动目标的检测，但无法实现对相应目标的空时参数估计。该文基于线性约束自适应单脉冲技术，提出一种运动目标空时参数估计新方法。该方法通过对差波束进行零点约束、鉴角率约束及去耦约束，有效地克服了主瓣内杂波对差波束形状的影响，保持了单脉冲特性，提高了目标空时参数的估计性能。仿真结果表明，与同类方法相比，该方法具有优异的空时参数估计性能。
- 雷达 /
- 空时自适应处理 /
- 单脉冲技术 /
- 主瓣杂波
Abstract: Technique of Space-Time Adaptive Processing (STAP), which is usually employed by airborne radar to detect the ground moving targets, can not estimate the spatial-temporal parameters of the corresponding targets. Based on the linearly constrained adaptive monopulse technique, a new method for estimating the spatial-temporal parameters of moving targets is proposed in this paper. The proposed method utilizes the beam null, monopulse slope, and decoupling constraints to remove the worse influence on the beam shape from the mainbeam clutter, keep the monopulse characteristic, increase the estimation performance of the spatial-temporal parameters of the moving target. Simulation results illustrate that the proposed method possesses the excellent estimation performance of the spatial-temporal parameters compared with the other similar methods.
- Radar /
- Space-Time Adaptive Processing(STAP) /
- Monopulse technique /
- Mainbeam clutter

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参考文献(1)

Klemm R. Principle of Space-Time Adaptive Processing [M]. 3rd Edition, IET Publishers, UK, 2006, Sect. 4.[2]Beau S and Marcos S. Range-recursive pre-Doppler STAP algorithm to reject range dependent clutter in airborne radar[C]. IEEE International Conference on Acoustics, Speech and Signal Processing 2008, Las Vegas, Nevada, USA, March 31-April 4, 2008: 2613-2616.[3]Zulch P and Goldstein J S. Performance metric issues for space time adaptive processing methods[C]. Aerospace Conference, 2008 IEEE, Big Sky, Montana, March 1-8, 2008: 1-8.Dai Lingyan, Li Rongfeng, and Wang Yongliang. A modified direct data domain least squares approach using a single snapshot[C]. 2008 International Congress on Image and Signal Processing, Sanya, Hainan, China, May 27-30, 2008: 37-40.[4]Nickel U L. Overview of generalized monopulse estimation[J]. IEEE Aerospace and Electronic Systems Magazine, 2006, 21(6): 27-56.[5]Yu Kai-bor and Murrow D J. Adaptive digital beamforming for angle estimation in jamming[J]. IEEE Transactions on Acoustics, Speech and Signal Processing, 2001, 37(2): 508-523.[6]Klemm R and Urich Nickel. Adaptive monopulse with STAP [C]. 2006 IEEE Radar Conference, New York, USA, April 24-27, 2006: 1-4.[7]刘宏伟, 张守宏. 平面阵线性约束自适应单脉冲测角算法[J].电子与信息学报.2001, 23(3):275-279浏览Liu Hong-wei and Zhang Shou-hong. Linearly constrained adaptive monopulse estimation algorithm for planar array[J]. Journal of Electronics and Information Technology, 2001, 23(3): 275-279.[8]Ward J. Maximum likelihood angle and velocity estimation with space-time adaptive processing radar[C]. Proceedings of the 30th Asilomar Conference on Signal, Systems and Computers, Pacific Grove, California, USA, Nov. 3-6, 1996: 1265-1267.

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