Target Reconstruction Method for Weak Signal Compensation Based on Internal Resonances

ZHOU Lijun; OUYANG Shan; LIAO Guisheng; JIN Liangnian

doi:10.11999/JEIT170287

Volume 39 Issue 12

Dec. 2017

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Article Navigation > Journal of Electronics & Information Technology > 2017 > 39(12): 2844-2850

Xiao Di, Deng Mi-Mi, Zhang Yu-Shu. Robust and Separable Watermarking Algorithm in Encrypted Image Based on Compressive Sensing[J]. Journal of Electronics & Information Technology, 2015, 37(5): 1248-1254. doi: 10.11999/JEIT141017

Citation:

ZHOU Lijun, OUYANG Shan, LIAO Guisheng, JIN Liangnian. Target Reconstruction Method for Weak Signal Compensation Based on Internal Resonances[J]. Journal of Electronics & Information Technology, 2017, 39(12): 2844-2850. doi: 10.11999/JEIT170287

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Target Reconstruction Method for Weak Signal Compensation Based on Internal Resonances

doi: 10.11999/JEIT170287

(Research Center for Wideband and Intelligence Information Technology, Guilin University of Electronic Technology, Guilin 541004, China)

Funds:

The National Natural Science Foundation of China (61371186, 61162007), The Guangxi Natural Science Foundation (2013GXNSFFA019004)

Received Date: 2017-04-01
Rev Recd Date: 2017-09-15
Publish Date: 2017-12-19

Abstract

Abstract

The geometric characteristics (such as position, shape, size, etc.) of a large size target such as the broken or sinking subgrade are particularly important in engineering applications and municipal infrastructure maintenance. Due to the attenuation of the electromagnetic wave inside the target, the reflection from back surface of the target is too weak to be detected. In this paper, a target reconstruction algorithm for weak signal compensation based on internal resonances is proposed. Due to the limited target boundary, the electromagnetic wave will produce multiple reflections along the propagation direction inside the target. This phenomenon is reflected as periodic resonances in the recording signal. The relationship between the resonant period and the target width is analyzed and the position of the back surface of the target is estimated. The virtual image around the front surface of target is removed by means of phase difference. The whole target shape is reconstructed according to the front surface and back surface of the target. The experimental results verify the effectiveness of the proposed method and the robustness to noise.
- Target reconstruction,
- Internal resonances,
- Signal compensation

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References(18)

References

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