Title :
Multi-static synthetic aperture radar image formation
Author :
Krishnan, V.P. ; Swoboda, J. ; Yarman, C.E. ; Yazici, B.
Author_Institution :
Dept. of Electr., Rensselaer Polytech. Inst., Troy, NY, USA
Abstract :
In this paper, we consider a multi-static synthetic aperture radar (SAR) imaging scenario where a swarm of airborne antennas, some of which are transmitting, receiving or both, are traversing arbitrary flight trajectories and transmitting arbitrary waveforms without any form of multiplexing. The received signal at each receiving antenna may be interfered by the scattered signals from multiple transmitters and the additive thermal noise at the receiver. Standard bi-static SAR image reconstruction algorithms result in artifacts in reconstructed images due to these interferences. In this paper, we employ microlocal analysis in a statistical setting to develop a novel filtered-backprojection (FBP) type analytic image formation method that suppresses artifacts due to interference from multiple transmitters while preserving the location and orientation of edges of the scene in the reconstructed image.
Keywords :
image reconstruction; radar imaging; synthetic aperture radar; bistatic SAR image reconstruction algorithms; filtered-backprojection type analytic image formation method; multistatic synthetic aperture radar image formation; Additive noise; Aperture antennas; Image analysis; Image reconstruction; Radar antennas; Radar scattering; Receiving antennas; Synthetic aperture radar; Transmitters; Transmitting antennas;
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2009 3rd IEEE International Workshop on
Conference_Location :
Aruba, Dutch Antilles
Print_ISBN :
978-1-4244-5179-1
Electronic_ISBN :
978-1-4244-5180-7
DOI :
10.1109/CAMSAP.2009.5413293