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首页> 外文期刊>Aerospace and Electronic Systems, IEEE Transactions on >Ground Moving Target Detection and Velocity Estimation Based on Spatial Multilook Processing for Multichannel Airborne SAR
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Ground Moving Target Detection and Velocity Estimation Based on Spatial Multilook Processing for Multichannel Airborne SAR

机译：基于空间多视点处理的多通道机载SAR地动目标检测与速度估计

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摘要

A robust method is addressed here for ground moving target detection and velocity estimation. This method is proposed by forming multilook Doppler beam sharpening (DBS) images with different illuminated angles which are divided by slow time segment in the azimuth direction. Compared with only a single looking angle, the detection probability with multiple looking angles can be improved under the same condition. For the clutter rejection procedure, we describe an approach which utilizes the fast time information and therefore has the robustness to image coregisrtration error. After clutter rejection and target detection, a new series of single-look and multilook velocity estimation approaches are developed in the presence of channel mismatch and image coregistration error. The robustness and practicability of the proposed algorithm are verified by processing the measured data of the experiment with three-aperture airborne radar.
机译：这里提出了一种用于地面移动目标检测和速度估计的可靠方法。通过形成具有不同照明角度的多普勒多普勒光束锐化（DBS）图像提出该方法，该图像在方位角方向上被慢速时间段划分。与仅单个视角相比，在相同条件下可以提高多个视角的检测概率。对于杂波抑制程序，我们描述了一种利用快速时间信息并因此具有对图像核心反射误差的鲁棒性的方法。经过杂波抑制和目标检测之后，在存在信道失配和图像融合误差的情况下，开发了一系列新的单视和多视速度估计方法。通过三孔机载雷达对实验数据进行处理，验证了所提算法的鲁棒性和实用性。

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