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Multi-frame fractional Fourier transform technique for moving target detection with space-based passive radar

机译:星空无源雷达运动目标检测的多帧分数阶傅里叶变换技术

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摘要

This study puts forward a moving target detection technique for space-based passive radar. The main drawback of satellite transmitters for radar applications is the very low power density on the ground level, which requires long integration times to adequately increase the signal to background ratio. To this aim, in this study a new technique is proposed relying on a hybrid coherenton-coherent integration of the received signal in the fractional Fourier transform (FrFT) domain. After the compensation of the range walk by Keystone reformatting, a coherent integration is performed over consecutive short time intervals (frames) such that the coherence of the scattering mechanism within each frame can be assumed. Then, a proper combination of the multiple frames is performed based on the kernel of the FrFT, allowing the reliable detection of low observable targets. The effectiveness of the proposed technique has been proved by simulated analysis considering very low EIRP satellites as opportunity transmitters.
机译:这项研究提出了一种用于天基无源雷达的运动目标检测技术。用于雷达应用的卫星发射机的主要缺点是地面上的功率密度非常低,这需要较长的积分时间才能充分提高信噪比。为此,在这项研究中,提出了一种新技术,该技术依赖于分数傅里叶变换(FrFT)域中接收信号的混合相干/非相干积分。在通过梯形校正重新格式化对距离游走进行补偿之后,在连续的短时间间隔(帧)上执行相干积分,以便可以假设每个帧内散射机制的相干性。然后,基于FrFT的内核对多个帧进行适当的组合,从而可以可靠地检测出低可观察目标。通过将非常低的EIRP卫星视为机会发射机的模拟分析,证明了所提出技术的有效性。

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