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PHASE UNWRAPPING IN THE PRESENCE OF SCATTERING NULLS AND APPLICATIONS TO MICROWAVE IMAGING

机译:存在散射零点的相位展开及其在微波成像中的应用

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Utilization of our log-magnitude/phase form (LMPF) iterative reconstruction algorithm for microwave tomographic imaging has proven to be significantly more advantageous than the traditional complex form algorithm both in terms of solution convergence stability and the elimination of the need for a priori information in cases of large, high contrast imaging targets. However, for certain high contrast targets, the forward solution can often contain scattering nulls which complicate the phase unwrapping process necessary in the LMPF algorithm and ultimately can cause instability in the convergence behavior. We have developed a strategy for coping with these scattering nulls during the unwrapping process based on a theoretical understanding of their behavior. The image quality improvement is substantial compared with previous strategies.
机译:事实证明,将我们的对数幅度/相位形式(LMPF)迭代重建算法用于微波层析成像,无论是在解决方案收敛稳定性方面,还是在消除对先验信息的需求方面,都比传统的复杂形式算法更具优势。大,高对比度成像目标的情况。但是,对于某些高对比度目标,前向解决方案通常包含散射零点,这会使LMPF算法中必需的相位展开过程复杂化,并最终导致收敛行为不稳定。我们已经基于对散乱行为的理论理解,开发了一种在展开过程中应对这些散乱零点的策略。与以前的策略相比,图像质量有了实质性的提高。

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