基于內(nèi)部諧振的弱信號補償介電目標重構(gòu)算法

周麗軍; 歐陽繕; 廖桂生; 晉良念

doi:10.11999/JEIT170287

基于內(nèi)部諧振的弱信號補償介電目標重構(gòu)算法

doi: 10.11999/JEIT170287

基金項目:

國家自然科學基金(61371186, 61162007)，廣西自然科學基金(2013GXNSFFA019004)

計量
- 文章訪問數(shù): 897
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- 被引次數(shù): 0
出版歷程
- 收稿日期: 2017-04-01
- 修回日期: 2017-09-15
- 刊出日期: 2017-12-19

Target Reconstruction Method for Weak Signal Compensation Based on Internal Resonances

(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)

摘要

摘要: 對斷裂或下沉路基等電大尺寸異質(zhì)體目標重構(gòu)其幾何特征(如位置，形狀，尺寸等)，在環(huán)境地質(zhì)等工程應(yīng)用及市政基礎(chǔ)設(shè)施維護中尤為重要。然而由于電磁波在目標體內(nèi)部的衰減，使得目標下表面反射回波很弱。對此該文提出一種基于內(nèi)部諧振的弱信號補償目標重構(gòu)算法。由于有限目標邊界的限制，電磁波在目標體內(nèi)部沿傳播方向產(chǎn)生多次反射，此現(xiàn)象在采樣時間記錄信號上體現(xiàn)為周期諧振。分析了諧振周期與目標寬度的關(guān)系并由此估計目標下表面的位置，結(jié)合去除虛像以后的目標前表面位置，重構(gòu)目標形狀。實驗結(jié)果驗證了提出方法的有效性以及對噪聲的魯棒性。
- 目標重構(gòu) /
- 內(nèi)部諧振 /
- 信號補償
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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