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A Time-Reversal FDTD Method for Image Reconstruction in the Presence of Noise

机译:存在噪声的图像重构时域逆时FDTD方法

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摘要

A new method for image reconstruction using the time-reversed finite-difference time-domain method (TR-FDTD) in severely noisy environments is presented. The proposed method combines cross- correlation processing with TR-FDTD to successfully produce clear images even in the presence of large amount of noise in the captured signals. The method's capabilities are demonstrated through simulations and experiments in the x-band frequency region (8-12 GHz). Behind the wall imaging was used as a lest case to validate the method. Numerical and experimental noise were added to corrupt the signals, and images were reconstructed with and without the added noise. The proposed method successfully produced clear images while the standard TR-FDTD method resulted in unrecognizable images. The efficacy and robustness of the proposed technique make it promising for applications including through-wall and buried-objects imaging in noisy environments.
机译:提出了一种在严重噪声环境中使用时间逆时差有限域时域方法(TR-FDTD)进行图像重建的新方法。所提出的方法将互相关处理与TR-FDTD相结合,即使在捕获的信号中存在大量噪声的情况下,也可以成功生成清晰的图像。通过在x波段频率区域(8-12 GHz)中的仿真和实验证明了该方法的功能。墙后成像是最好的情况,以验证该方法。添加了数值和实验噪声以破坏信号,并在有或没有噪声的情况下重建图像。提出的方法成功产生清晰的图像,而标准的TR-FDTD方法导致无法识别的图像。所提出的技术的有效性和鲁棒性使其在包括嘈杂环境中的穿墙和掩埋物体成像在内的应用中具有广阔的前景。

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