Maneuvering Target Detection via Radon-Fractional Fourier Transform-Based Long-Time Coherent Integration

Maneuvering Target Detection via Radon-Fractional Fourier Transform-Based Long-Time Coherent Integration
复制标题

通过基于氡分数阶傅立叶变换的长时相干积分进行机动目标检测

DOI:
10.1109/tsp.2013.2297682
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发表时间:
2014-02-01
影响因子:
5.4
通讯作者:
He, You
He, You
中科院分区:
工程技术1区
文献类型:
--
作者:
Chen, Xiaolong;Guan, Jian;He, You

文献摘要

被引文献

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长时间相干积分技术是提高雷达对弱机动目标探测能力的重要手段之一,但长时间相干积分技术的集成性能受跨距离单元(ARU)和多普勒频移(DFM)效应的影响较大。本文提出并研究了一种新的radon -分数阶傅里叶变换(RFRFT)来同时解决上述问题。它不仅可以通过选择合适的旋转角度消除DFM的影响,而且可以实现无ARU效应的长时间相干积分。RFRFT可以看作是由不同旋转角度的滤波器组成的特殊的多普勒滤波器组,它是传统运动目标检测方法和FRFT方法的推广。推导了RFRFT在机动目标检测中的一些有用特性和似然比检验检测器。最后,利用模拟和真实雷达数据进行了空中目标和海上目标检测的数值实验。结果表明,在低信噪比(SCR/SNR)环境下,该方法在积分增益和检测能力方面优于MTD、FRFT和Radon-Fourier变换。此外,该方法还可以方便地获取目标的运动轨迹。
Long-time coherent integration technique is one of the most important methods for the improvement of radar detection ability of a weak maneuvering target, whereas the integration performance may be greatly influenced by the across range unit (ARU) and Doppler frequency migration (DFM) effects. In this paper, a novel representation known as Radon-fractional Fourier transform (RFRFT) is proposed and investigated to solve the above problems simultaneously. It can not only eliminate the effect of DFM by selecting a proper rotation angle but also achieve long-time coherent integration without ARU effect. The RFRFT can be regarded as a special Doppler filter bank composed of filters with different rotation angles, which indicates a generalization of the traditional moving target detection (MTD) and FRFT methods. Some useful properties and the likelihood ratio test detector of RFRFT are derived for maneuvering target detection. Finally, numerical experiments of aerial target and marine target detection are carried out using simulated and real radar datasets. The results demonstrate that for integration gain and detection ability, the proposed method is superior to MTD, FRFT, and Radon-Fourier transform under low signal-to-clutter/noise ratio (SCR/SNR) environments. Moreover, the trajectory of target can be easily obtained via RFRFT as well.