Three-Dimensional Microwave Imaging Algorithm for the Surface of the Human Body Based on Wavenumber Domain Integration

Tan Wei-xian; Hong Wen; Wang Yan-ping; Wu Yi-rong

doi:10.3724/SP.J.1146.2008.01671

Volume 31 Issue 11

Dec. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2009 > 31(11): 2541-2545

Tan Wei-xian, Hong Wen, Wang Yan-ping, Wu Yi-rong. Three-Dimensional Microwave Imaging Algorithm for the Surface of the Human Body Based on Wavenumber Domain Integration[J]. Journal of Electronics & Information Technology, 2009, 31(11): 2541-2545. doi: 10.3724/SP.J.1146.2008.01671

Citation:

Tan Wei-xian, Hong Wen, Wang Yan-ping, Wu Yi-rong. Three-Dimensional Microwave Imaging Algorithm for the Surface of the Human Body Based on Wavenumber Domain Integration[J]. Journal of Electronics & Information Technology, 2009, 31(11): 2541-2545. doi: 10.3724/SP.J.1146.2008.01671

Citation:

Tan Wei-xian, Hong Wen, Wang Yan-ping, Wu Yi-rong. Three-Dimensional Microwave Imaging Algorithm for the Surface of the Human Body Based on Wavenumber Domain Integration[J]. Journal of Electronics & Information Technology, 2009, 31(11): 2541-2545. doi: 10.3724/SP.J.1146.2008.01671

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Three-Dimensional Microwave Imaging Algorithm for the Surface of the Human Body Based on Wavenumber Domain Integration

doi: 10.3724/SP.J.1146.2008.01671

Received Date: 2008-12-08
Rev Recd Date: 2009-04-29
Publish Date: 2009-11-19

Abstract

Abstract

This paper presents the sampling criteria for the three-Dimensional (3-D) microwave imaging of the surface of the human body. Then the algorithm based on the wavenumber domain integration along the wave propagation direction at the given ground-range bins is proposed, which avoids the complex 3-D STOLT interpolation computation. Next, the focused 3-D imagery of human body model consisting of points is given with the simulation. Finally, the experiment for the model at Ka band in anechoic chamber is designed, and the corresponding processed result is presented to demonstrate the validity of the sampling criteria and the feasibility of the algorithm.

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References(1)

References

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