Abstract
Ground Penetration Radar (GPR) detects buried detonatory objects. The data collection may be view with different source of information to make use of Ground Penetration Radar System. In the normal data gives hyperbolic effects, which make the analysis and detection of targets difficult. So a focusing algorithm, Kirchoff Migration has been used for a synthetically generated GPR data pattern, The task control behavior of assigned data performs with Stepped Frequency Continuous Wave Radar (SFCW). The data is migrated, simulated in Mat Lab. Architecture has been proposed for the FPGA Implementation of the same.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
I.A. Ruthenberg, Curve Fitting and Migration of GPR Data for the Detection. (Department of Computer Science and Electrical Engineering, University of Queensland, IJMRT Journal, 2018) pp. 119–126
R. Gupta et al., Automation and aviation radar techniques. IEEE Trans. 29(11), 219–231 (2018)
A. Gunawardena, D. Longstaff, Wave equation formulation of synthetic aperture radar (SAR) algorithms in the time-space domain. IEEE Trans. GeoSci. Rem. Sens. 6 (2019)
D.S. Jones, The Theory of Electromagnetism (Pergamon Press, 2016)
E. Yigit, S. Demirci, C. Ozdemir, Ground penetrating radar image focusing using frequency-wave number based synthetic aperture radar technique, In IEEE paper, Published in, International Conference on Electromagnetics in Advanced Applications, ICEAA2017, pp. 344–347
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Dharamvir, Shashidhara, M.S. (2022). Implementation and Image Transformation for Ground Penetration Image Radar System. In: Pundir, A.K.S., Yadav, N., Sharma, H., Das, S. (eds) Recent Trends in Communication and Intelligent Systems. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-19-1324-2_3
Download citation
DOI: https://doi.org/10.1007/978-981-19-1324-2_3
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-1323-5
Online ISBN: 978-981-19-1324-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)