Robust Wideband Waveforms for Synthetic Aperture Radar (SAR) and Ground Moving Target Indication (GMTI) Applications

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: W31P4Q-09-C-0449
Agency Tracking Number: 08SB2-0382
Amount: $98,930.00
Phase: Phase I
Program: SBIR
Awards Year: 2009
Solicitation Year: 2008
Solicitation Topic Code: SB082-020
Solicitation Number: 2008.2
Small Business Information
317 Harrington Avenue, Suites 9 & 10, Closter, NJ, 07624
DUNS: 001562821
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 KeYong Li
 Senior Engineer
 (201) 768-4448
 kli@cptnj.com
Business Contact
 Mary Kritikos
Title: Office Manager and Accountant
Phone: (201) 768-4448
Email: mary@cptnj.com
Research Institution
N/A
Abstract
High resolution SAR imaging and Ground moving target indicator (GMTI) radar are of critical value to modern intelligence surveillance and reconnaissance missions. High resolution SAR can be realized at the expense of wide bandwidth waveform. However, to achieve long dwells over a wideband width, often the operating frequency band can overlap with other co-band radars, and it becomes necessary to notch out those interference bands both in the transmit mode and the receive mode. Thus it becomes necessary to design wideband transmit waveforms with spectral notches to null out the co-channel interference while maintaining excellent pulse compression with good sidelobe properties. A solution to this problem is presented in this proposal. The new solution leads to poor range resolution and to compensate that, two new receiver design strategies to suppress the sidelobes are also presented here. For azimuth compression, the carrier frequency plays a crucial role in narrowband SAR. However, the use of wide bandwidth leads to a less well defined role for the carrier frequency resulting in poorer azimuth resolution. This fundamental problem is addressed here using a new approach that draws on recent results on non-linear sparsity based image processing methods.

* Information listed above is at the time of submission. *

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government