Space-Doppler processing with adaptive compensation for bistatic multichannel ISAR imaging of non-cooperative targets

Moving targets appear defocused within SAR images and their detection is a challenging especially in the case of targets embedded in strong clutter. Moreover, in bistatic geometries, the clutter echo returns are range dependent. This situation degrades significantly STAP performance. In this paper, an adaptive compensation to homogenize data is performed first. This operation allow the proposed Space Doppler Adaptive Processing to be used to suppress bistatic ground clutter improving detection capabilities. Then, ISAR technique is used to obtain well focused images of extended non-cooperative moving targets. Two principal issues will be addressed. First combination of bistatic adaptive clutter suppression in the space-Doppler domain and ISAR technique is presented. Then a suboptimal approach is proposed to overcome computational issue. Result using simulated data are shown.

[1]  M. Martorella,et al.  High resolution imaging of moving ground targets via clutter mitigation and ISAR processing , 2014, 2014 International Radar Conference.

[2]  W.L. Melvin,et al.  A STAP overview , 2004, IEEE Aerospace and Electronic Systems Magazine.

[3]  R. Klemm Principles of Space-Time Adaptive Processing , 2002 .

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

[5]  W.L. Melvin,et al.  Adaptive cancellation method for geometry-induced nonstationary bistatic clutter environments , 2007, IEEE Transactions on Aerospace and Electronic Systems.

[6]  M. Martorella,et al.  A sub-optimal approach for bistatic joint STAP-ISAR , 2015, 2015 IEEE Radar Conference (RadarCon).

[7]  M. Martorella,et al.  Joint STAP-ISAR for non-cooperative target imaging in strong clutter , 2013, 2013 IEEE Radar Conference (RadarCon13).