Ground moving target indication and parameters estimation using a dual-frequency synthetic aperture radar

A new scheme is presented to estimate the range and azimuth velocity components of a detected moving target by using a dual-frequency synthetic aperture radar (SAR). It consists of a moving target detector, a range velocity estimator, and an azimuth velocity estimator. In this scheme, two original SAR images are achieved from the returns first, and then processed by a symmetric defocusing filter pair (SDFP) to produce two defocused images. By comparing the sharpness of the two defocused images, the moving targets are indicated and isolated form each original SAR image. For a selected moving target, its range velocity component is estimated by using a Doppler ambiguity solver and a stepped approximation-and-comparison algorithm. After range velocity compensated, the target in the patch is concentrated in less range bins, and its azimuth velocity component is estimated by using an SDFP bank. Finally, the moving target is refocused and its azimuth displacement caused by range velocity component is corrected. The effectiveness of the proposed scheme is confirmed by the experiments with the field and simulated data.

[1]  Gerhard Krieger,et al.  Multidimensional Waveform Encoding: A New Digital Beamforming Technique for Synthetic Aperture Radar Remote Sensing , 2008, IEEE Transactions on Geoscience and Remote Sensing.

[2]  D.A. Cook,et al.  Analysis of Phase Error Effects on Stripmap SAS , 2009, IEEE Journal of Oceanic Engineering.

[3]  J. Fienup Detecting moving targets in SAR imagery by focusing , 2001 .

[4]  Franz J. Meyer,et al.  Spaceborne Traffic Monitoring with Dual Channel Synthetic Aperture Radar Theory and Experiments , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops.

[5]  Marina V. Dragosevic,et al.  Moving Target Indication via RADARSAT-2 Multichannel Synthetic Aperture Radar Processing , 2010, EURASIP J. Adv. Signal Process..

[6]  Thomas Pernstål,et al.  STAP analysis using multi-channel airborne radar data from flight trials , 2010, 2010 IEEE Radar Conference.

[7]  Ian G. Cumming,et al.  A combined SAR Doppler centroid estimation scheme based upon signal phase , 1996, IEEE Trans. Geosci. Remote. Sens..

[8]  João R. Moreira,et al.  A new MTI-SAR approach using the reflectivity displacement method , 1995, IEEE Trans. Geosci. Remote. Sens..

[9]  Shu Li,et al.  Improved slope estimation for SAR Doppler ambiguity resolution , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[10]  Erich Meier,et al.  Capabilities of Dual-Frequency Millimeter Wave SAR With Monopulse Processing for Ground Moving Target Indication , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[11]  John C. Curlander,et al.  Application of the multiple PRF technique to resolve Doppler centroid estimation ambiguity for spaceborne SAR , 1992, IEEE Trans. Geosci. Remote. Sens..

[12]  Guisheng Liao,et al.  Ground Moving Targets Imaging Algorithm for Synthetic Aperture Radar , 2011, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Bin Guo,et al.  SAR based adaptive GMTI , 2010, Defense + Commercial Sensing.

[14]  Richard Bamler,et al.  PRF-ambiguity resolving by wavelength diversity , 1991, IEEE Trans. Geosci. Remote. Sens..

[15]  Shengli Zhou,et al.  Iterative Sparse Channel Estimation and Decoding for Underwater MIMO-OFDM , 2009, OCEANS 2009.

[16]  P. Marques,et al.  Moving Targets Processing in SAR Spatial Domain , 2007, IEEE Transactions on Aerospace and Electronic Systems.

[17]  Bu-Chin Wang,et al.  Digital signal processing techniques and applications in radar image processing , 2008 .

[18]  S.K. Wong High Range Resolution Profiles as Motion-Invariant Features for Moving Ground Targets Identification in SAR-Based Automatic Target Recognition , 2009, IEEE Transactions on Aerospace and Electronic Systems.

[19]  Oleksandr O. Bezvesilniy,et al.  Potential of multi-look SAR processing , 2011, Proceedings of 5th International Conference on Recent Advances in Space Technologies - RAST2011.

[20]  Junfeng Wang,et al.  Velocity estimation of moving targets using SAR , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

[21]  Bu-Chin Wang,et al.  Digital Signal Processing Techniques and Applications in Radar Image Processing: Wang/Digital Signal Processing Techniques , 2008 .

[22]  Thomas L. Ainsworth,et al.  Motion Analysis in SAR Images of Unfocused Objects Using Time–Frequency Methods , 2007, IEEE Geoscience and Remote Sensing Letters.

[23]  Mesut Kartal,et al.  Efficient Strip-Mode SAR Raw-Data Simulation of Fixed and Moving Targets , 2011, IEEE Geoscience and Remote Sensing Letters.

[24]  R. Keith Raney,et al.  Synthetic Aperture Imaging Radar and Moving Targets , 1971, IEEE Transactions on Aerospace and Electronic Systems.

[25]  Jeffrey C. Lagarias,et al.  Convergence Properties of the Nelder-Mead Simplex Method in Low Dimensions , 1998, SIAM J. Optim..

[26]  J. R. Moreira,et al.  A New Method Of Aircraft Motion Error Extraction From Radar Raw Data For Real Time Motion Compensation , 1990 .

[27]  Richard Bamler,et al.  Doppler frequency estimation and the Cramer-Rao bound , 1991, IEEE Trans. Geosci. Remote. Sens..

[28]  C. H. Gierull Ground moving target parameter estimation for two-channel SAR , 2006 .

[29]  Christoph H. Gierull,et al.  Experimental Verification of SAR-GMTI Improvement Through Antenna Switching , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[30]  Gerhard Krieger,et al.  Acceleration-independent along-track velocity estimation of moving targets , 2008 .

[31]  Dominick A. Giglio Algorithms for Synthetic Aperture Radar Imagery , 1994 .