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Micro-doppler Analysis of Rotating Targets in Dual-channel Bistatic SAR

机译:双通道双通道双通道旋转目标的微多普勒分析

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The micro-motions of structures in a target, such as the rotor of a helicopter, the scanning antenna of a ship, the vibrations of vehicle engines, may induce additional frequency modulations on the returned radar signals and generate sidebands about the center Doppler frequency of the target's body, which is known as the micro-Doppler effect. Extraction of micro-Doppler signature is very useful for target classification and recognition. In recent years, the researches of micro-Doppler extraction methods are widely discussed. However, few of them are based on bistatic SAR which has many advantages. Bistatic SAR may have a counter-stealth capability and the receivers are passive which is undetectable. Rotation is a typical micro-motion form. Most of the published researches on analysis of the rotation target did not pay enough attention to the interference of ground clutter. However, ground clutter caused by the presence of stationary targets makes the extraction of the micro-Doppler signature difficulty, which may submerge the signals of rotating targets. In this paper, based on the configuration of bistatic SAR with a dual-channel fixed receiver, a new micro-Doppler signature extraction method is used to extract the micro-Doppler features and estimate parameters of rotating targets. The received signals' expressions of rotating targets are established in the case of dual-channel fixed-receiver bistatic SAR. With displaced phase center antenna technique, the ground clutter is suppressed and the signals of rotating targets are reserved in the range-compressed data domain. Then the mathematical expressions of micro-Doppler are derived. The fractional Fourier transform is adopted to compensate for the radar Doppler shift and the Gabor transform method is utilized for extraction of micro-Doppler information caused by rotating targets and parameter estimation. Finally, The effectiveness of the proposed method is evaluated through simulations.
机译:目标中的结构的微观运动,例如直升机的转子,船的扫描天线,车辆发动机的振动,可以在返回的雷达信号上引起额外的频率调制,并产生关于中心多普勒频率的边带目标的身体,被称为微多普勒效应。微多普勒签名的提取对于目标分类和识别非常有用。近年来,广泛讨论了微多普勒提取方法的研究。然而,其中很少有基于具有许多优点的基础。 BISTOG SAR可能具有反隐形能力,并且接收器是被动不可检测的被动。旋转是一种典型的微观运动形式。大多数发表的对旋转目标分析的研究没有足够的关注地面杂波的干扰。然而,由于固定目标的存在引起的地面杂波使微多普勒签名难度提取,这可以淹没旋转目标的信号。本文基于双通道固定接收器的双通道固定接收器的结构的基础,采用新的微多普勒签名提取方法提取微多普勒特征和旋转目标的估计参数。在双通道固定接收器双向SAR的情况下,建立了接收信号的旋转目标的表达。利用位移相位中心天线技术,抑制了地面杂波,并且旋转目标的信号被保留在范围压缩的数据域中。然后导出微多普勒的数学表达式。采用分数傅里叶变换来补偿雷达多普勒偏移,并且Gabor变换方法用于提取由旋转目标和参数估计引起的微多普勒信息。最后,通过模拟评估所提出的方法的有效性。

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