Radar High-Speed Target Detection Based on the Scaled Inverse Fourier Transform
Radar High-Speed Target Detection Based on the Scaled Inverse Fourier Transform
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DOI：
10.1109/jstars.2014.2368174
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发表时间：
2015-03
影响因子：
5.5
通讯作者：
Jibin Zheng;T. Su;Wentao Zhu;Xuehui He;Q. Liu
中科院分区：
文献类型：
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作者：
Jibin Zheng;T. Su;Wentao Zhu;Xuehui He;Q. Liu
本文提出了一种基于对称自相关函数和尺度傅里叶逆变换的高速目标相干检测算法。该相干检测算法简单，易于实现，只需使用复数乘法、快速傅里叶变换（FFT）和逆FFT（IFFT）。与Hough变换和Keystone变换相比，该相干检测算法无需对未知运动参数进行暴力搜索，能够检测高速运动目标，在计算量和抗噪性能之间取得了较好的平衡。通过对合成模型和真实的数据的仿真分析，验证了该相干检测算法的有效性。
In this paper, by employing the symmetric autocorrelation function and the scaled inverse Fourier transform (SCIFT), a coherent detection algorithm is proposed for high-speed targets. This coherent detection algorithm is simple and can be easily implemented by using complex multiplications, the fast Fourier transform (FFT) and the inverse FFT (IFFT). Compared to the Hough transform and the keystone transform, this coherent detection algorithm can detect high-speed targets without the brute-force searching of unknown motion parameters and achieve a good balance between the computational cost and the antinoise performance. Through simulations and analyses for synthetic models and the real data, we verify the effectiveness of the proposed coherent detection algorithm.