基于內(nèi)部諧振的弱信號(hào)補(bǔ)償介電目標(biāo)重構(gòu)算法

周麗軍; 歐陽(yáng)繕; 廖桂生; 晉良念

doi:10.11999/JEIT170287

基于內(nèi)部諧振的弱信號(hào)補(bǔ)償介電目標(biāo)重構(gòu)算法

doi: 10.11999/JEIT170287 cstr: 32379.14.JEIT170287

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61371186, 61162007)，廣西自然科學(xué)基金(2013GXNSFFA019004)

計(jì)量
- 文章訪問(wèn)數(shù): 912
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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(duì)斷裂或下沉路基等電大尺寸異質(zhì)體目標(biāo)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(hù)中尤為重要。然而由于電磁波在目標(biāo)體內(nèi)部的衰減，使得目標(biāo)下表面反射回波很弱。對(duì)此該文提出一種基于內(nèi)部諧振的弱信號(hào)補(bǔ)償目標(biāo)重構(gòu)算法。由于有限目標(biāo)邊界的限制，電磁波在目標(biāo)體內(nèi)部沿傳播方向產(chǎn)生多次反射，此現(xiàn)象在采樣時(shí)間記錄信號(hào)上體現(xiàn)為周期諧振。分析了諧振周期與目標(biāo)寬度的關(guān)系并由此估計(jì)目標(biāo)下表面的位置，結(jié)合去除虛像以后的目標(biāo)前表面位置，重構(gòu)目標(biāo)形狀。實(shí)驗(yàn)結(jié)果驗(yàn)證了提出方法的有效性以及對(duì)噪聲的魯棒性。
- 目標(biāo)重構(gòu) /
- 內(nèi)部諧振 /
- 信號(hào)補(bǔ)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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參考文獻(xiàn)(18)

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