基于NUFFT的调频步进频高分辨成像与目标识别算法

向寅; 张凯; 胡程

doi:10.12000/JR15083

基于NUFFT的调频步进频高分辨成像与目标识别算法

doi: 10.12000/JR15083

北京理工大学雷达技术研究所北京 100081

基金项目:

国家自然科学基金(61172177)

详细信息

作者简介:
向寅(1981-),男,博士后,2010年于中国科技大学获得博士学位,后在中国科学院电子学研究所任博士后,研究方向为压缩感知、合成孔径雷达成像和信号处理。E-mail:xy_overlimit@sina.cn张凯(1989-),男,硕士研究生,2015年3月获得北京理工大学信息与通信工程专业工学硕士学位,研究方向为雷达目标识别。E-mail:zhangkai3325@163.com胡程(1981-),男,研究员,博士生导师,2003年7月获得国防科学技术大学电子工程专业学士学位,2009年7月获得北京理工大学目标探测与识别专业工学博士学位,在攻读博士学位期间,于2006年3月至2007年5月赴英国伯明翰大学电子工程系进行为期15个月的访问研究。2014年破格聘为研究员、博士生导师。主要研究方向为地球同步轨道SAR、地基SAR及新体制SAR成像与差分干涉处理技术。E-mail:cchchb@163.com

通讯作者:
向寅xy_overlimit@sina.cn

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出版历程
- 收稿日期: 2015-07-02
- 修回日期: 2015-12-09
- 网络出版日期: 2015-12-28

A NUFFT Based Step-frequency Chirp Signal High Resolution Imaging Algorithm and Target Recognition Algorithm

Institute of Radar Technology, Beijing Institute of Technology, Beijing 100081, China

Funds:

The National Natural Science Foundation of China (61172177)

摘要

摘要: 雷达自动目标识别技术是发展未来智能化武器系统需首先突破的关键技术。相比于2维SAR图像目标识别,基于高分辨距离像(HRRP)目标识别具有数据维度低、对雷达系统计算量和存储量的要求低和成像算法简单的优点。HRRP成像是目标识别中的前导和关键步骤,其速度和成像结果的质量好坏直接决定了目标识别的实时性和准确性。文中探讨了一种新的HRRP成像算法非均匀傅里叶变换(NUFFT)算法,推导并给出了用NUFFT进行调频步进信号的回波模拟和高分辨成像的数学公式。同时通过分析成像算法各步骤的计算量,对4种成像算法的计算量进行了对比分析,并仿真了两类地面目标成像与目标识别的结果。理论分析及仿真验证都表明,该文算法的计算复杂度相对于其它算法均有不同程度的改善,可以有效地应用于雷达目标识别中。
- 雷达自动目标识别 /
- 高分辨距离像 /
- 调频步进频 /
- 高分辨率 /
- 非均匀傅里叶变换(NUFFT)
Abstract: Radar Automatic Target Recognition (RATR) is the key technique to be breaked through in the fuure development of intelligent weapon system. Compared to the 2-D SAR image target recognition, High Resolution Range Profile (HRRP) target recognition has the advantage of low data dimension, low requirement of radar system's calculation and storage ability, and the imaging algorithm is also not complicated. HRRP imaging is the first and the key process in target recognition, its speed and imaging quality can directly influence the real-time capability and accuracy of target recognition. In this paper a new HRRP imaging algorithm NUFFT algorithm is proposed, the derivation of mathematical expression is given, both for the echo simulation process and the imaging process. In the meantime, by analyzing each step's calculation complexity, we compared the calculation complexity of four different imaging algorithms, we also simulate two target's imaging and target recognition processing. Theoretical analysis and simulation both prove that the proposed algorithm's calculation complexity is improved in various degree compared with the others, thus can be effectively used in target recognition.
- Radar Automatic Target Recognition (RATR) /
- High Resolution Range Profile (HRRP) /
- Stepfrequency chirp /
- High Resolution /
- NUFFT

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参考文献(14)

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