
FOLLOWUS
National Digital Switching System Engineering and Technological Research Center, Zhengzhou 450001, China
School of Electronics and Communication Engineering, Sun Yat-Sen University, Guangzhou 510000, China
Anhui Institute of Quality and Standardization, Hefei 230000, China
Ke JIN, E-mail: jinke_xd@outlook.com
收稿:2019-05-29,
修回:2020-;7-14,
纸质出版:2020-08
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靳科, 赖涛, 齐艳丽, 等. 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[J]. 信息与电子工程前沿(英文), 2020,21(8):1251-1266.
Ke JIN, Tao LAI, Yan-li QI, et al. 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.
靳科, 赖涛, 齐艳丽, 等. 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[J]. 信息与电子工程前沿(英文), 2020,21(8):1251-1266. DOI: 10.1631/FITEE.1900272.
Ke JIN, Tao LAI, Yan-li QI, et al. 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. DOI: 10.1631/FITEE.1900272.
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。
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.
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