Smear signature morphology of surface targets with arbitrary motion in spotlight synthetic aperture radar imagery

This study develops a methodology for analytically predicting the detailed smear signature morphology of surface targets with arbitrary motion in spotlight synthetic aperture radar (SAR) imagery. The radar sensor is assumed to move with constant speed and heading on a level flight path with broadside imaging geometry. Cases of uniform target motion exhibit morphology of simply curved smear shapes, as has been reported previously. However, the present analysis shows that non-uniform target motion can cause complicated smear shapes in spotlight SAR imagery. Specifically, the method of stationary phase is applied to local subaperture SAR images to yield analytic non-parametric expressions for the morphology of smear signatures within spotlight SAR imagery for surface targets with arbitrary motion trajectories. This predictive capability offers the potential of extracting some characteristics of true target motion based upon the induced SAR smear signatures alone.

[1]  Wang Yanfei,et al.  Detect and autofocus the moving target by its range walk in time domain , 2011, 2011 International Conference on Wireless Communications and Signal Processing (WCSP).

[2]  Sergio Barbarossa,et al.  A novel procedure for detecting and focusing moving objects with SAR based on the Wigner-Ville distribution , 1990, IEEE International Conference on Radar.

[3]  D. Munson,et al.  A tomographic formulation of spotlight-mode synthetic aperture radar , 1983, Proceedings of the IEEE.

[4]  S. Barbarossa Detection and imaging of moving objects with synthetic aperture radar , 1992 .

[5]  Margaret Cheney,et al.  Waveform-diverse moving-target spotlight SAR , 2010, 2010 International Waveform Diversity and Design Conference.

[6]  David C. Munson,et al.  SAR image reconstruction for an arbitrary radar path , 1995, 1995 International Conference on Acoustics, Speech, and Signal Processing.

[7]  R.L. Fante,et al.  Space-based bistatic GMTI using low resolution SAR , 1997, 1997 IEEE Aerospace Conference.

[8]  Murali Tummala,et al.  Target migration path morphology of moving targets in spotlight SAR , 2013, Defense, Security, and Sensing.

[9]  Xinhua Mao,et al.  Response of polar format algorithm to moving target with consideration of wavefront curvature , 2009, 2009 IEEE Radar Conference.

[10]  Xiang Li,et al.  An efficient mathematical description of range models for high-order-motion targets in synthetic aperture radar , 2012, 2012 IEEE Radar Conference.

[11]  Charles V. Jakowatz,et al.  Refocus of constant-velocity moving targets in synthetic aperture radar imagery , 1998, Defense, Security, and Sensing.

[12]  Shu Xiao,et al.  Spotlight-mode SAR imaging of a three-dimensional scene using spectral estimation techniques , 1998, IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174).

[13]  Mehrdad Soumekh Digital spotlighting and coherent subaperture image formation for stripmap synthetic aperture radar , 1994, Proceedings of 1st International Conference on Image Processing.

[14]  J.J. Vaccaro,et al.  Planar subarray processing for SAR imaging , 1995, Proceedings International Radar Conference.

[15]  H. Greidanus Sub-aperture Behavior of SAR Signatures of Ships , 2006, 2006 IEEE International Symposium on Geoscience and Remote Sensing.

[16]  R.L. Moses,et al.  SAR focusing performance for moving objects with random motion components , 2008, 2008 42nd Asilomar Conference on Signals, Systems and Computers.

[17]  Leonid Perlovsky,et al.  Detecting slow moving targets in SAR images , 2004, SPIE Defense + Commercial Sensing.