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Ground Moving Target Imaging Using Ultranarrowband Continuous Wave Synthetic Aperture Radar

机译:使用超窄带连续波合成孔径雷达的地面移动目标成像

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We present a novel method for ground moving target imaging using a synthetic aperture radar system transmitting ultranarrowband continuous waveforms (CW). Our method exploits the high Doppler resolution provided by ultranarrowband CW signals to image both the scene reflectivity and to determine the velocity of multiple moving targets. We develop a new forward model based on the temporal Doppler induced by the movement of antennas and moving targets. The forward model relates reflectivity and velocity information at each location to a correlated received signal. We form the reflectivity images of the moving targets and estimate their motion parameters using a filtered-backprojection (FBP) technique combined with the contrast or gradient optimization method. The method results in focused reflectivity images of moving targets and their velocity estimates, regardless of the target location, speed, and velocity direction. We show that the amplitude and visible edges of the targets can be correctly reconstructed when the correct target velocity estimate is used in the FBP imaging. We present the resolution analysis of the reflectivity images. Extensive numerical simulations demonstrate the performance of our method and validate the theoretical results.
机译:我们提出了一种使用合成孔径雷达系统传输超窄带连续波形(CW)的地面移动目标成像的新方法。我们的方法利用超窄带连续波信号提供的高多普勒分辨率来成像场景反射率并确定多个移动目标的速度。我们基于天线和运动目标的运动引起的时间多普勒信号,开发了一种新的正向模型。前向模型将每个位置的反射率和速度信息与相关的接收信号相关。我们形成运动目标的反射率图像,并使用反投影(FBP)技术结合对比度或梯度优化方法估计其运动参数。该方法可得到运动目标的聚焦反射率图像及其速度估计值,而与目标位置,速度和速度方向无关。我们表明,当在FBP成像中使用正确的目标速度估算值时,可以正确地重建目标的幅度和可见边缘。我们介绍了反射率图像的分辨率分析。大量的数值模拟证明了我们方法的性能并验证了理论结果。

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