| 要約: | This study describes the development of a new algorithm for use in a recently established technique for imaging based on ultrawideband (UWB) microwave signals rather than ionising radiations such as x-rays. The method is based on Huygens principle (HP), which removes the need to solve inverse problems and, consequently, the need for matrix generation/inversion. In addition to its simplicity, it is shown that HP enables the detection of the extent to which different tissues or differing conditions of tissues, can be discriminated and render contrast in the final image. Moreover, UWB allows all the information in the frequency domain to be utilised by combining the signals from the individual frequencies to construct a consistent image. It follows that the methodology can identify the presence and the location of significant scatterers inside a volume. Validation of the technique through simulations and measurements on cylinders with inclusions is presented. © 2011 The Institution of Engineering and Technology.
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