微波成像技术及其算法综述
Overview of the Technology and Algorithm of Microwave Imaging
摘 要
介绍了微波成像技术的特点和优势，同时对微波成像的现存算法进行了总结概述，着重介绍了几种具有代表性的重构算法，如ω-k算法、局部形状函数算法、波恩近似算法、对比源算法、粒子群优化算法和非精确牛顿算法。文章通过对几种电磁逆散射算法进行比较，给出不同算法各自的原理、特点及使用范围，并对电磁逆散射算法的发展趋势做了展望。
电磁逆散射
ω-k算法
局部形状函数算法
波恩近似算法
对比源算法
粒子群优化算法
非精确牛顿算法
Microwave imaging
Electromagnetic inverse scattering
ω-k algorithm
Local shape function method
Born iterative method
Contrast source inversion method
Particle swarm optimization method
Inexact Newton method
Abstract
The properties and advantages of microwave imaging problem, especially the technology and algorithms of imaging in electromagnetic field were introduced in this work, and a summarized overview for the existing inverse algorithms was given. Several representative microwave imaging reconstruction algorithms were presented, including ω-k algorithm, local shape function method, Born iterative method, contrast source inversion method, particle swarm optimization and the inexact Newton method. Different algorithm were compared, in order to give their principle, characteristics and range of use. The development trend of microwave imaging algorithm was presented.
中图分类号 TG115.28
所属栏目 综述
基金项目 辽宁省教育厅创新团队资助项目(2009T074)
收稿日期 2011/10/8
修改稿日期
网络出版日期
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备注许会(1963-)，女，教授，博士生导师，主要从事无损检测技术研究。
引用该论文: XU Hui,CHEN Yan-Ling. Overview of the Technology and Algorithm of Microwave Imaging[J]. Nondestructive Testing, 2012, 34(10): 67～71
许会,陈艳玲. 微波成像技术及其算法综述[J]. 无损检测, 2012, 34(10): 67～71
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参考文献
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【7】Bozza G, Pastorino M. An inexact newton-based approach to microwave imaging with in the contrast source formulation［J］. IEEE Transactions on Antennas and Propagation,2009,57(4):1122-1132.
【8】Pastorino M. Stochastic optimization methods applied to microwave imaging: areview［J］. IEEE Transactions on Antennas and Propagation,2007,55(3):538-548.
【9】Brignone M, Bozza G, Randazzo A, et al. A hybrid approach to 3D microwave imaging by using linear sampling and ACO［J］. IEEE Transactions on Antennas and Propagation,2008,56(10):3224-3232.
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【12】Moghaddam M, Chew W C. Comparison of the born iterative method and tarantolas method for an electromagnetic time-domain inverse problem［J］. Interational Journal of Imaging Systems and Technology,1994(3):318-333.
【13】Donelli M., Franceschini G., Martini A., et al. An integrated multiscaling strategy based on a particle swarm algorithm for inverse scattering problems［J］. IEEE Transactions on Geoscience and Remote Sensing,2006,44(2):298-311.
【14】Bozza G, Estatico C, Pastorino M, et al. An inexact newton method for microwave reconstruction of strong scatterers［J］. IEEE Antennas and Wireless Propagation Letters,2006,5(1):61-64.
【15】Golnabi A H, Meaney P M, Geimer S, et al. Microwave Imaging for Breast Cancer Detection and Therapy Monitoring［C］. IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems. Phoenix, Arizona, USA, 2011.
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【2】Cakoni F. Recent developments in the qualitative approach to inverse electromagnetic scattering theory［J］. Journal of Computational and Applied Mathematics,2007,204(2):242-255.
【3】Winters D W, Van Veen B D, Hagness S C. A sparsity regularization approach to the electromagnetic inverse scattering problem［J］. IEEE Transactions on Antennas and Propagation,2010,58(1):145-154.
【4】YU Chun, YUAN Meng-qing, ZHANG Yang-jun, et al. Microwave imaging in layered Media: 3-D image reconstruction from experimental data［J］. IEEE Transactions on Antennas and Propagation,2010,58(2):440-448.
【5】Dubois A, Belkebir K, Catapano I, et al. Iterative solution of the electromagnetic inverse scattering problem from the transient scattered field［J］. Radio Science,2009,44(1):199-201.
【6】Gilmore C, Mojabi P, Lovetri J. Comparison of an enhanced distorted born iterative method and the multiplicative-regularized contrast source inversion method［J］. IEEE Transactions on Antennas and Propagation,2009,57(8):2341-2351.
【7】Bozza G, Pastorino M. An inexact newton-based approach to microwave imaging with in the contrast source formulation［J］. IEEE Transactions on Antennas and Propagation,2009,57(4):1122-1132.
【8】Pastorino M. Stochastic optimization methods applied to microwave imaging: areview［J］. IEEE Transactions on Antennas and Propagation,2007,55(3):538-548.
【9】Brignone M, Bozza G, Randazzo A, et al. A hybrid approach to 3D microwave imaging by using linear sampling and ACO［J］. IEEE Transactions on Antennas and Propagation,2008,56(10):3224-3232.
【10】Cadalli N, Munson D C. A simulation study of the ω-k SAR algorithm squinted case with application to runway imaging［C］. Proceedings of the IEEE Interational Conference on Application Specific Standard Product. Istanbul, Turkey;2000.
【11】Weedon W H, Chew W C. Time domain inverse scattering using the local shape function(LSF) method［J］. Inverse Problems,1993,(9):551-564.
【12】Moghaddam M, Chew W C. Comparison of the born iterative method and tarantolas method for an electromagnetic time-domain inverse problem［J］. Interational Journal of Imaging Systems and Technology,1994(3):318-333.
【13】Donelli M., Franceschini G., Martini A., et al. An integrated multiscaling strategy based on a particle swarm algorithm for inverse scattering problems［J］. IEEE Transactions on Geoscience and Remote Sensing,2006,44(2):298-311.
【14】Bozza G, Estatico C, Pastorino M, et al. An inexact newton method for microwave reconstruction of strong scatterers［J］. IEEE Antennas and Wireless Propagation Letters,2006,5(1):61-64.
【15】Golnabi A H, Meaney P M, Geimer S, et al. Microwave Imaging for Breast Cancer Detection and Therapy Monitoring［C］. IEEE Topical Conference on Biomedical Wireless Technologies, Networks, and Sensing Systems. Phoenix, Arizona, USA, 2011.
【16】Ashtari A. Using a priori information for regularization in breast microwave image reconstruction［J］. IEEE Transactions on Biomedical Engineering,2010,57(9):2197-2208.
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