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CLC number: TN957.51

On-line Access: 2020-08-07

Received: 2019-05-29

Revision Accepted: 2019-07-17

Crosschecked: 2020-07-14

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Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Ke Jin

https://orcid.org/0000-0003-4666-565X

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Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.8 P.1251-1266

http://doi.org/10.1631/FITEE.1900272


Efficient coherent detection of maneuvering targets based on location rotation transform and non-uniform fast Fourier transform


Author(s):  Ke Jin, Tao Lai, Yan-li Qi, Jie Huang, Yong-jun Zhao

Affiliation(s):  National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450001, China; more

Corresponding email(s):   jinke_xd@outlook.com

Key Words:  Coherent integration, Maneuvering target, Parameter estimation, Location rotation transform (LRT), Non-uniform fast Fourier transform (NuFFT)


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Ke Jin, Tao Lai, Yan-li Qi, Jie Huang, Yong-jun Zhao. Efficient coherent detection of maneuvering targets based on location rotation transform and non-uniform fast Fourier transform[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(8): 1251-1266.

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number="8",
pages="1251-1266",
year="2020",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1900272"
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Abstract: 
Long-term coherent integration can remarkably improve the ability of detection and motion parameter estimation of radar for maneuvering targets. However, the linear range migration, quadratic range migration (QRM), and Doppler frequency migration within the coherent processing interval seriously degrade the detection and estimation performance. Therefore, an efficient and noise-resistant coherent integration method based on location rotation transform (LRT) and non-uniform fast Fourier transform (NuFFT) is proposed. QRM is corrected by the second-order keystone transform. Using the relationship between the rotation angle and Doppler frequency, a novel phase compensation function is constructed. Motion parameters can be rapidly estimated by LRT and NuFFT. Compared with several representative algorithms, the proposed method achieves a nearly ideal detection performance with low computational cost. Finally, experiments based on measured radar data are conducted to verify the proposed algorithm.

基于位置旋转变换和非均匀快速傅立叶变换的机动目标高效相参检测

靳科1,赖涛2,齐艳丽3,黄洁1,赵拥军1
1国家数字交换系统工程技术研究中心,中国郑州市,450001
2中山大学电子与通信工程学院,中国广州市,510000
3安徽省质量和标准化研究院,中国合肥市,230000

摘要:长时间相参积累能够显著提升雷达对机动目标的检测和运动参数估计性能。然而,相参积累期间目标的线性距离徙动、二次距离徙动和多普勒频率徙动将导致检测性能急剧下降。提出基于位置旋转变换和非均匀快速傅里叶变换的高效稳健相参积累方法。首先,利用二阶Keystone变换消除二次距离徙动。然后,利用旋转角度和多普勒频率之间的对应关系,构建相位补偿函数,从而利用位置旋转和非均匀快速傅里叶变换实现高效的参数估计。与现有代表性算法相比,所提算法能以较低运算复杂度实现近乎理想的检测性能。最后,基于雷达实测数据的实验证明所提算法有效。

关键词:相参积累;机动目标;参数估计;位置旋转变换;非均匀快速傅立叶变换

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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