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基于Keystone变换和MDCFT的高机动弱目标检测与参数估计

战立晓, 汤子跃, 朱振波   

  1. 空军预警学院 空天预警装备系, 湖北 武汉 430019
  • 收稿日期:2012-06-01 修回日期:2012-11-23 出版日期:2013-04-25 发布日期:2013-04-23
  • 通讯作者: 汤子跃,Tel.: 027-85965531 E-mail: tang_zi_yue@163.com E-mail:tang_zi_yue@163.com
  • 作者简介:战立晓 男, 博士研究生。主要研究方向: 雷达信号处理、 雷达成像。 Tel: 027-85965734 E-mail: zhanlixiao123@163.com;汤子跃 男, 教授, 博士生导师。主要研究方向: 雷达系统、 雷达信号处理、 雷达成像等。 Tel: 027-85965531 E-mail: tang_zi_yue@163.com;朱振波 男, 讲师。主要研究方向: 雷达信号处理、 雷达成像等。 Tel: 027-85965730 E-mail: zzbradar@126.com
  • 基金资助:

    武器装备科研项目(2012230)

Keystone Transform and MDCFT-based Detection and Parameter Estimation for Maneuvering Weak Targets

ZHAN Lixiao, TANG Ziyue, ZHU Zhenbo   

  1. Department of Air/Space Early Warning Equipment, Air Force Early Warning Academy, Wuhan 430019, China
  • Received:2012-06-01 Revised:2012-11-23 Online:2013-04-25 Published:2013-04-23
  • Supported by:

    Weapon Equipment Scientific Research Project (2012230)

摘要:

常规雷达对隐身、超声速和高机动目标存在回波信噪比不足、距离徙动和多普勒谱扩展问题。将Keystone变换和修正离散Chirp-Fourier变换(MDCFT)相结合,提出了一种新的雷达信号处理算法。该算法通过Keystone变换补偿距离徙动问题,利用MDCFT对多普勒谱严重扩展的目标回波进行相参积累,提高目标检测性能的同时完成了对目标参数的估计,且该算法在方位向欠采样时仍可适用。最后对算法运算量及性能进行了分析,通过仿真验证了该算法的有效性。

关键词: 长时间相参积累, 目标检测, 参数估计, Keystone变换, 修正离散Chirp-Fourier变换

Abstract:

Detection of weak, supersonic and maneuvering targets is a great challenge for traditional radar as the signal-to-noise ratio of the target echoes is very low, and range cell migration and Doppler cell migration occur. To solve these problems, the Keystone transform and modified discrete Chirp-Fourier transform (MDCFT) are combined and a novel radar signal processing method based on this combination is proposed. The range cell migration is compensated by the Keystone transform, and then coherent integration of the Doppler spectrum spread echo is performed by the MDCFT. Furthermore, the method can perform parameter estimation at the same time of detecting the targets, which improves the efficiency of radar signal processing. Finally, the computational complexity and the performance of the method are analyzed, and the effectiveness of the method is verified by simulations.

Key words: long term coherent integration, target detection, parameter estimation, Keystone transform, modified discrete Chirp-Fourier transform

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