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基于支持向量机的电磁逆散射方法
An electromagnetic inverse scattering approac based on support vector machine
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摘要: 为解决电磁逆散射问题，提出了一种实时逆散射方法，该方法利用支持向量机（SVM）将逆散射问题转化为一个回归估计问题．基于SVM的电磁逆散射方法成功地解决了逆散射问题中的非线性和不适定性．利用穿墙问题测试了该方法的可行性和有效性，测试结果表明，不论是无噪声还是有噪声的情况，该方法都能很好地对墙后目标进行探测与定位．此外，在穿墙环境下用SVM预测模型讨论了接收天线的采样位置数对预测结果的影响．最后对多源设置下的预测误差进行了分析和研究，研究表明，相比于单源情况多源设置有利于对墙后目标的识别．Abstract: In order to solve electromagnetic inverse scattering problem, a real-time inverse scattering method is proposed. This technique converts the inverse scattering problem into a regressed one using support vector machine （SVM）. Electromagnetic inverse scattering method based on the SVM deals with nonlinearity and ill-posedness inherent in the inverse scattering problem successfully. The feasibility and the validity are tested by making use of simulating through-wall problem, and the results demonstrate that this approach can detect and position the targets behind the wall, no matter whether there exists noise or not. In the through-wall scenario, the influence of the number of sampling positions of receiving antenna on the predicted results is discussed using the predicted model of SVM. In the end, the predicted errors are analyzed and investigated in the multiple source scenario. The results show that this kind of setting is helpful for target identification in through-wall problem.
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