Open AccessThree‐dimensional optimal focusing imaging algorithm for wall‐penetrating radar
Author(s) -
Li Yinchuan,
Zhao Yikun,
Xiang Yin,
Ding Zegang,
Liu Haibo,
Liu Quanhua
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2019.0044
Subject(s) - superposition principle , computer science , radar imaging , algorithm , radar , computer vision , image processing , entropy (arrow of time) , artificial intelligence , bandwidth (computing) , image (mathematics) , mathematics , physics , telecommunications , mathematical analysis , quantum mechanics
Wall‐penetrating radar (WPR) is the device to image very small objects buried inside the wall. The small objects usually a few millimetres, whereas the bandwidth of WPR limits its resolution up to several centimetres. As a result, the target imaging result of the traditional method is ‘defocused’ in the range direction. To solve this problem, a near‐field three‐dimensional imaging algorithm based on matching filtering with multiple reference signals and selection processing is proposed. Instead of obtaining a focused image via coherent superposition processing, a focused image is determined by selecting an image from a plurality imaging results of different reference depths according to the minimum entropy criterion. The proposed algorithm is validated by imaging the computer simulation technology simulation data and the measured data.