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Robust Wideband Waveforms for Synthetic Aperture Radar (SAR) and Ground Moving…

Award Information

Agency:
Department of Defense 		Branch:
Defense Advanced Research Projects Agency 		Award ID:
91735 		Program Year/Program:
2009 / SBIR
Agency Tracking Number:
08SB2-0382 		Solicitation Year:
N/A 		Solicitation Topic Code:
N/A 		Solicitation Number:
N/A
Small Business Information
C & P Technologies, Inc.
317 Harrington Avenue Suites 9&10 Closter, NJ -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2009
Title: Robust Wideband Waveforms for Synthetic Aperture Radar (SAR) and Ground Moving Target Indication (GMTI) Applications
Agency / Branch: DOD / DARPA
Contract: W31P4Q-09-C-0449
Award Amount: $98,930.00
 

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.

Principal Investigator:

KeYong Li
Senior Engineer
2017684448
kli@cptnj.com

Business Contact:

Mary Kritikos
Office Manager and Accountant
2017684448
mary@cptnj.com
Small Business Information at Submission:

C & P TECHNOLOGIES, INC.
317 Harrington Avenue Suites 9 & 10 Closter, NJ 07624

EIN/Tax ID: 113211386
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No