本文選題：目標(biāo)重構(gòu) + 內(nèi)部諧振��； 參考：《電子與信息學(xué)報》2017年12期

【摘要】：對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。對此該文提出一種基于內(nèi)部諧振的弱信號補償目標(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)象在采樣時間記錄信號上體現(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。實驗結(jié)果驗證了提出方法的有效性以及對噪聲的魯棒性。
[Abstract]:It is very important to reconstruct the geometric characteristics (such as location, shape, size, etc.) of electrically large heterogeneous objects such as fracture or subgrade, which is especially important in environmental geology and other engineering applications and maintenance of municipal infrastructure. However, due to the attenuation of electromagnetic waves in the target body, the surface reflection echo is very weak. In this paper, a weak signal compensation target reconstruction algorithm based on internal resonance is proposed. Due to the limitation of the finite target boundary, the electromagnetic wave is reflected several times along the propagating direction in the body of the target, which is reflected as periodic resonance on the sampling time recording signal. The relationship between the resonant period and the target width is analyzed and the position of the lower surface of the target is estimated. After removing the virtual image the front surface position of the target is combined and the target shape is reconstructed. Experimental results show that the proposed method is effective and robust to noise.
【作者單位】： 桂林電子科技大學(xué)寬帶與智能信息技術(shù)中心;西安電子科技大學(xué)電子工程學(xué)院;
【基金】：國家自然科學(xué)基金(61371186,61162007) 廣西自然科學(xué)基金(2013GXNSFFA019004)~~
【分類號】：TN958

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