DocumentCode :
2962065
Title :
Multichannel SAR imaging with backprojection
Author :
Rosenberg, Luke ; Gray, Doug
Author_Institution :
Electr. Eng. Dept., Adelaide Univ., SA, Australia
fYear :
2004
fDate :
14-17 Dec. 2004
Firstpage :
265
Lastpage :
270
Abstract :
The use of multiple antennas on a synthetic aperture radar (SAR), i.e., multichannel SAR, offers benefits such as improved ambiguity suppression for moving target indication (MTI) and imaging large swaths (Goodman, N.A. et al. 2002; Ender, J.H.G., 2000), improved signal-to-noise ratio (SNR) (Younis, M. et al., 2003) and the potential to suppress spatial jammers by use of space time adaptive processing (Ender, 1998). The multichannel matched filter (MF) interpolation imaging scheme presented by L. Rosenberg and D. Gray (see Int. Radar Symp. Proc., 2004) offers a good tradeoff between imaging accuracy and computational complexity. However, there are a number of potential problems which affect this algorithm in practice. Backprojection offers a solution to these problems and instead offers a direct tradeoff between accuracy and computation time. We extend the single channel backprojection algorithm to include multiple transmit and receive antennas. An analysis of the performance of the algorithm with varying levels of accuracy is shown, as well as a comparison with conventional MF algorithms.
Keywords :
computational complexity; matched filters; radar imaging; synthetic aperture radar; SNR; ambiguity suppression; backprojection; computational complexity; imaging accuracy; moving target indication; multichannel SAR imaging; multichannel matched filter interpolation imaging scheme; multiple antennas; receive antennas; signal-to-noise ratio; space time adaptive processing; spatial jammer suppression; synthetic aperture radar; transmit antennas; Aperture antennas; Computational complexity; Interpolation; Jamming; Matched filters; Radar antennas; Radar imaging; Radar polarimetry; Signal to noise ratio; Synthetic aperture radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Sensors, Sensor Networks and Information Processing Conference, 2004. Proceedings of the 2004
Print_ISBN :
0-7803-8894-1
Type :
conf
DOI :
10.1109/ISSNIP.2004.1417473
Filename :
1417473
Link To Document :
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