Simulation Framework for a 3-D High-Resolution Imaging Radar at 300 GHz with a Scattering Model Based on Rendering Techniques

被引:15
|
作者
Ortiz-Jimenez, Guillermo [1 ,2 ]
Garcia-Rial, Federico [1 ]
Ubeda-Medina, Luis A. [1 ]
Pages, Rafael [1 ,3 ]
Garcia, Narciso [1 ]
Grajal, Jesus [1 ]
机构
[1] Univ Politecn Madrid, Dept Senales Sistemas & Radiocomunicac, E-28040 Madrid, Spain
[2] Delft Univ Technol, Fac Elect Engn Math & Comp Sci, NL-2628 CD Delft, Netherlands
[3] Trinity Coll Dublin, Graph Vis & Visualizat Grp, Dublin 2, Ireland
关键词
Bidirectional reflectance distribution function (BRDF); imaging radar; millimeter-wave measurements; ray tracing; scattering modeling; THz simulation framework; MILLIMETER-WAVE; COMMUNICATION; SECURITY; SURFACES;
D O I
10.1109/TTHZ.2017.2702590
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
We present a simulation framework for a 3-D highresolution imaging radar at 300 GHz with mechanical scanning. This tool allows us to reproduce the imaging capabilities of the radar in different setups and with different targets. The simulations are based on a ray-tracing approximation combined with a bidirectional reflectance distribution function (BRDF) model for the scattering of rough surfaces. Moreover, we present a novel approach to estimate the scattering parameters of the BRDF model for different types of targets from the combination of the radar data and information obtained from an infrared structure light sensor. This new framework will serve as a baseline for the design of future radar multistatic configurations and to generate synthetic data to train automatic target recognition algorithms.
引用
收藏
页码:404 / 414
页数:11
相关论文
共 50 条
  • [1] 3-D High-Resolution Imaging Radar at 300 GHz With Enhanced FoV
    Grajal, Jesus
    Badolato, Alejandro
    Rubio-Cidre, Gorka
    Ubeda-Medina, Luis
    Mencia-Oliva, Beatriz
    Garcia-Pino, Antonio
    Gonzalez-Valdes, Borja
    Rubinos, Oscar
    IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2015, 63 (03) : 1097 - 1107
  • [2] Vital Signs Detection Based on High-Resolution 3-D mmWave Radar Imaging
    Rong, Yu
    Lenz, Isabella
    Bliss, Daniel W.
    2022 IEEE INTERNATIONAL SYMPOSIUM ON PHASED ARRAY SYSTEMS & TECHNOLOGY (PAST), 2022,
  • [3] A high-resolution imaging radar at 580 GHz
    Cooper, K. B.
    Dengler, R. J.
    Chattopadhyay, G.
    Schlecht, E.
    Gill, J.
    Skalare, A.
    Mehdi, I.
    Siegel, P. H.
    IEEE MICROWAVE AND WIRELESS COMPONENTS LETTERS, 2008, 18 (01) : 64 - 66
  • [4] Evaluation of Standoff Multistatic 3-D Radar Imaging at 300GHz
    Garcia-Rial, Federico
    Montesano, Daniel
    Perez-Eijo, Lorena
    Arias, Marcos
    Gonzalez-Valdes, Borja
    Pino, Antonio
    Grajal, Jesus
    IEEE TRANSACTIONS ON TERAHERTZ SCIENCE AND TECHNOLOGY, 2020, 10 (01) : 58 - 67
  • [5] Imaging simulation for 3-D laser radar based on target model
    Yan, Xiaowei
    Deng, Jiahao
    2008 INTERNATIONAL CONFERENCE ON OPTICAL INSTRUMENTS AND TECHNOLOGY: MICROELECTRONIC AND OPTOELECTRONIC DEVICES AND INTEGRATION, 2009, 7158
  • [6] 3-D High-Resolution Imaging at 240 GHz with a Single-Chip FMCW Monostatic Radar in SiGe HBT Technology
    Grzyb, J.
    Statnikov, K.
    Sarmah, N.
    Pfeiffer, U. R.
    2016 41ST INTERNATIONAL CONFERENCE ON INFRARED, MILLIMETER, AND TERAHERTZ WAVES (IRMMW-THZ), 2016,
  • [7] HIGH-RESOLUTION IMAGING IN 3-D RECONSTRUCTIVE TOMOGRAPHY
    VERLY, JG
    COMPUTER GRAPHICS AND IMAGE PROCESSING, 1981, 16 (01): : 1 - 19
  • [8] High-resolution 3-D radar imaging through nonuniform fast Fourier transform (NUFFT)
    Song, Jiayu
    Liu, Qing H.
    Kim, Kangwook
    Scott, Waymond R., Jr.
    COMMUNICATIONS IN COMPUTATIONAL PHYSICS, 2006, 1 (01) : 176 - 191
  • [9] High-resolution 3-D imaging by a sparse array: Array optimization and image simulation
    Repetto, S
    Palmese, M
    Trucco, A
    OCEANS 2005 - EUROPE, VOLS 1 AND 2, 2005, : 763 - 768
  • [10] Fast High-Resolution 3D Radar Imaging Based on 3D FISTA
    Ren, Jiaying
    Lu, Xinfei
    Guan, Jian
    Yin, Zhiping
    Ehen, Weidong
    2017 IEEE RADAR CONFERENCE (RADARCONF), 2017, : 815 - 818