Analysis of SAR moving grid processing for focusing and detection of ground moving targets

This paper investigates the performance of single-channel SAR-GMTI systems in the focusing and detection of translating ground targets moving in the presence of a clutter background. Specifically, focusing and detection performance is investigated by applying the Moving Grid Processing (MGP) focusing technique to a scene containing an accelerating target moving in the presence of both uniform and correlated K-distributed clutter backgrounds. The increase in detection sensitivity resulting from the focusing operation is found to result from two separable effects, target focusing and clutter defocusing. While the detection sensitivity gain due to target focusing is common for both clutter types, the gain due to clutter defocusing is found to be significantly greater for textured clutter than for uniform clutter, by approximately 5 to 6 dB in the simulated scenario under consideration. This paper concludes with a discussion of the phenomenological causes for this difference and implications of this finding for single channel SAR-GMTI systems operating in heterogeneous clutter environments.

[1]  LeRoy A. Gorham,et al.  A challenge problem for SAR-based GMTI in urban environments , 2009, Defense + Commercial Sensing.

[2]  Michael J. Collins,et al.  Modeling and Simulation of SAR Image Texture , 2009, IEEE Transactions on Geoscience and Remote Sensing.

[3]  J.H.G. Ender.  Space-time processing for multichannel synthetic aperture radar , 1999 .

[4]  Brian D. Rigling,et al.  Analysis of target rotation and translation in SAR imagery , 2009, Defense + Commercial Sensing.

[5]  C. R. Dietrich,et al.  A fast and exact method for multidimensional gaussian stochastic simulations , 1993 .

[6]  C J Oliver,et al.  Correlated K-distributed Clutter Models , 1985 .

[7]  M. Pettersson,et al.  Detection of moving targets in wideband SAR , 2004, IEEE Transactions on Aerospace and Electronic Systems.

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

[9]  Nicholas J. Redding,et al.  Estimating the Parameters of the K Distribution in the Intensity Domain , 1999 .

[10]  S. Quegan,et al.  Understanding Synthetic Aperture Radar Images , 1998 .

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

[12]  LeRoy A. Gorham,et al.  Ground moving target detection and tracking based on generalized SAR processing and change detection (Invited Paper) , 2005, SPIE Defense + Commercial Sensing.

[13]  Sergio Barbarossa,et al.  Space-time-frequency processing of synthetic aperture radar signals , 1994 .

[14]  M. Skolnik,et al.  Introduction to Radar Systems , 2021, Advances in Adaptive Radar Detection and Range Estimation.

[15]  F. Ulaby,et al.  Handbook of radar scattering statistics for terrain , 1989 .

[16]  Erich Meier,et al.  Constant motion, acceleration, vibration, and rotation of objects in SAR data , 2005, SPIE Remote Sensing.

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

[18]  Jen King Jao,et al.  Theory of synthetic aperture radar imaging of a moving target , 2001, IEEE Trans. Geosci. Remote. Sens..

[19]  Edmund G. Zelnio,et al.  Algorithms for Synthetic Aperture Radar Imagery XIV , 1996 .

[20]  Charles V. Jakowatz,et al.  Spotlight-Mode Synthetic Aperture Radar: A Signal Processing Approach , 1996 .

[21]  Michael J. Minardi,et al.  SAR change detection MTI , 2006, SPIE Defense + Commercial Sensing.

[22]  C. Oliver.  The interpretation and simulation of clutter textures in coherent images , 1986 .