SDR-Implemented Ground-Based Interferometric Radar for Displacement Measurement

In this article, we demonstrate the use of general software-defined radio (SDR) hardware for ground-based interferometric radar (GBIR) system development for static target imaging and displacement estimation purposes. First, a system synchronization approach is proposed within the free and open-source framework GNU Radio, followed by a frequency-domain bandwidth synthesis method used to improve the range resolution with three different waveforms. Second, data preprocessing and target imaging methods are proposed to reduce the negative influences of practical nonideal factors and get high-quality target images. Finally, various experiments are conducted to show the performance of the developed SDR-GBIR system and the proposed methods. It is shown that high-resolution target image and high-accuracy displacement measurement can be obtained by our SDR-GBIR systems.

[1]  Adriano Meta,et al.  MetaSensing's FastGBSAR: ground based radar for deformation monitoring , 2014, Remote Sensing.

[2]  Dario Tarchi,et al.  MELISSA, a new class of ground based InSAR system. An example of application in support to the Costa Concordia emergency , 2014 .

[3]  Alberto Michelini,et al.  SPARX, a MIMO Array for Ground-Based Radar Interferometry , 2019, Sensors.

[4]  A.,et al.  FAST FOURIER TRANSFORMS FOR NONEQUISPACED DATA * , 2022 .

[5]  Lei He,et al.  Multilayered Circular Dielectric Structure SAR Imaging Based on Compressed Sensing for FOD Detection in NDT , 2020, IEEE Transactions on Instrumentation and Measurement.

[6]  Massimiliano Pieraccini,et al.  An Interferometric MIMO Radar for Bridge Monitoring , 2019, IEEE Geoscience and Remote Sensing Letters.

[7]  Joel A. Tropp,et al.  Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.

[8]  Pierfrancesco Lombardo,et al.  Reciprocal-Filter-Based STAP for Passive Radar on Moving Platforms , 2019, IEEE Transactions on Aerospace and Electronic Systems.

[9]  David Hawkins,et al.  Ultrawideband Synthesis for High-Range-Resolution Software-Defined Radar , 2020, IEEE Transactions on Instrumentation and Measurement.

[10]  Marc Teboulle,et al.  A Fast Iterative Shrinkage-Thresholding Algorithm for Linear Inverse Problems , 2009, SIAM J. Imaging Sci..

[11]  Frédéric Fabry,et al.  Meteorological Value of Ground Target Measurements by Radar , 2004 .

[12]  Zheng Xu,et al.  Arc FMCW SAR and Applications in Ground Monitoring , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Guang-Ming Wang,et al.  Directivity Improvement of Vivaldi Antenna Using Double-Slot Structure , 2013, IEEE Antennas and Wireless Propagation Letters.

[14]  M. Becker,et al.  Monitoring of displacements with ground-based microwave interferometry: IBIS-S and IBIS-L , 2010 .

[15]  Zongben Xu,et al.  Fast Compressed Sensing SAR Imaging Based on Approximated Observation , 2013, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[16]  Michael A. Temple,et al.  High range resolution (HRR) improvement using synthetic HRR processing and stepped-frequency polyphase coding , 2004 .

[17]  Leslie Greengard,et al.  Accelerating the Nonuniform Fast Fourier Transform , 2004, SIAM Rev..

[18]  D. Wehner High Resolution Radar , 1987 .

[19]  Yu Zhao,et al.  Sparse Detection Algorithms Based on Two-Dimensional Compressive Sensing for Sub-Nyquist Pulse Doppler Radar Systems , 2019, IEEE Access.

[20]  N. Casagli,et al.  Monitoring landslide displacements by using ground-based synthetic aperture radar interferometry: Application to the Ruinon landslide in the italian Alps , 2003 .

[21]  Konstantin Lukin,et al.  Monitoring of St. Sophia Cathedral interior using Ka-band Ground Based Noise Waveform SAR , 2009, 2009 European Radar Conference (EuRAD).

[22]  Joaquim Fortuny-Guasch,et al.  A Fast and Accurate Far-Field Pseudopolar Format Radar Imaging Algorithm , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[23]  Ernest K. Smith,et al.  The Constants in the Equation for Atmospheric Refractive Index at Radio Frequencies , 1953, Proceedings of the IRE.

[24]  Jean-Michel Friedt,et al.  Direct path interference suppression for short‐range passive bistatic synthetic aperture radar imaging based on atomic norm minimisation and Vandermonde decomposition , 2019, IET Radar, Sonar & Navigation.

[25]  Jian Li,et al.  MIMO Radar with Colocated Antennas , 2007, IEEE Signal Processing Magazine.

[26]  Alexander Charlish,et al.  An Overview of Cognitive Radar: Past, Present, and Future , 2019, IEEE Aerospace and Electronic Systems Magazine.

[27]  John Meier,et al.  Leveraging Software-Defined Radio Techniques in Multichannel Digital Weather Radar Receiver Design , 2012, IEEE Transactions on Instrumentation and Measurement.

[28]  Xiao Xiang Zhu,et al.  Extended Chirp Scaling-Baseband Azimuth Scaling-Based Azimuth–Range Decouple $L_{1}$ Regularization for TOPS SAR Imaging via CAMP , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[29]  L. Greengard,et al.  The type 3 nonuniform FFT and its applications June - , 2005 .

[30]  Reza Zoughi,et al.  Effects of and Compensation for Translational Position Error in Microwave Synthetic Aperture Radar Imaging Systems , 2020, IEEE Transactions on Instrumentation and Measurement.

[31]  R. Hanssen Radar Interferometry: Data Interpretation and Error Analysis , 2001 .

[32]  Yang Xu,et al.  High-Accuracy Narrowband Software-Defined Radar Using Successive Multiple-Frequency Continuous-Wave Modulation for Sensing Applications , 2019, IEEE Transactions on Microwave Theory and Techniques.

[33]  Dario Tarchi,et al.  MIMO Radar and Ground-Based SAR Imaging Systems: Equivalent Approaches for Remote Sensing , 2013, IEEE Transactions on Geoscience and Remote Sensing.

[34]  C. Elachi,et al.  Spaceborne synthetic-aperture imaging radars: Applications, techniques, and technology , 1982, Proceedings of the IEEE.

[35]  Fulvio Gini,et al.  Cognitive Radars: On the Road to Reality: Progress Thus Far and Possibilities for the Future , 2018, IEEE Signal Processing Magazine.

[36]  Graeme E. Smith,et al.  Evaluation of Direct Signal Suppression for Passive Radar , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[37]  Weiming Tian,et al.  Design and Imaging of Ground-Based Multiple-Input Multiple-Output Synthetic Aperture Radar (MIMO SAR) with Non-Collinear Arrays , 2017, Sensors.

[38]  I. Daubechies,et al.  An iterative thresholding algorithm for linear inverse problems with a sparsity constraint , 2003, math/0307152.

[39]  Yonina C. Eldar,et al.  SUMMeR: Sub-Nyquist MIMO Radar , 2016, IEEE Transactions on Signal Processing.

[40]  Guido Luzi,et al.  A review of ground-based SAR interferometry for deformation measurement , 2014 .

[41]  Gabriele Guidi,et al.  Ground-based radar interferometry for landslides monitoring: atmospheric and instrumental decorrelation sources on experimental data , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[42]  Onkar Dikshit,et al.  Monitoring of landslide activity at the Sirobagarh landslide, Uttarakhand, India, using LiDAR, SAR interferometry and geodetic surveys , 2018, Geocarto International.

[43]  Mariantonietta Zonno,et al.  Focusing algorithms analysis for Ground-Based SAR images , 2013, 2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS.

[44]  Michele Crosetto,et al.  Spaceborne Differential SAR Interferometry: Data Analysis Tools for Deformation Measurement , 2011, Remote. Sens..

[45]  Helmut Essen,et al.  High range resolution by means of synthetic bandwidth generated by frequency-stepped chirps , 2003 .

[46]  Motoyuki Sato,et al.  GB-SAR Interferometry Based on Dimension-Reduced Compressive Sensing and Multiple Measurement Vectors Model , 2019, IEEE Geoscience and Remote Sensing Letters.

[47]  Jean-Michel Friedt,et al.  Software defined radio based Synthetic Aperture noise and OFDM (Wi-Fi) RADAR mapping , 2020 .

[48]  Massimiliano Pieraccini,et al.  Ground-Based Radar Interferometry: A Bibliographic Review , 2019, Remote. Sens..

[49]  Jean-Michel Friedt,et al.  3-D Ground-Based Imaging Radar Based on C-Band Cross-MIMO Array and Tensor Compressive Sensing , 2019, IEEE Geoscience and Remote Sensing Letters.