Security Imaging for Multi-Target Screening Based on Adaptive Scene Segmentation With Terahertz Radar
Autor: | Shuliang Gui, Jin Li, Yiming Pi |
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Rok vydání: | 2019 |
Předmět: |
business.industry
Computer science Terahertz radiation Aperture synthesis 010401 analytical chemistry Fast Fourier transform Bandwidth (signal processing) Image segmentation 01 natural sciences 0104 chemical sciences law.invention Parallel processing (DSP implementation) law Distortion Radar imaging Wavenumber Computer vision Artificial intelligence Electrical and Electronic Engineering Radar business Instrumentation |
Zdroj: | IEEE Sensors Journal. 19:2675-2684 |
ISSN: | 2379-9153 1530-437X |
DOI: | 10.1109/jsen.2018.2889884 |
Popis: | In this paper, a terahertz (THz) radar security imaging method for multi-target screening is proposed. This imaging system is constituted of several transceivers to get multi-angle echo data. Through aperture synthesis and target detection processing of the multi-angle radar echo data, the multi-target scene can be segmented into several subscenes with each single target inside. In order to fast reconstruct the images of subscenes without the hypothesis of plane wave decomposition, which can cause severe defocus and distortion at the edge of THz radar near-field imaging results, wavenumber domain algorithm is modified for parallel processing of all subscenes data with the center locations of subscenes. Furthermore, convolution integral in slow time is used to speed up the processing of subscenes imaging with fast Fourier transform. Simulation results are analyzed and compared to demonstrate the performance and effectiveness of our method. Moreover, verifiable experiments are designed for proof-of-concept, where imaging scenes are rotating along with a fixed speed turntable. The experimental data are transmitted and received by a stationary THz radar, which operates at 340 GHz with the bandwidth of 28.8 GHz and the output peak power of 5 mW. |
Databáze: | OpenAIRE |
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