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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: D11PC20007
Agency Tracking Number: 08SB2-0382
Amount: $1,499,980.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: SB082-020
Solicitation Number: 2008.2
Timeline
Solicitation Year: 2008
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-11-29
Award End Date (Contract End Date): 2012-11-28
Small Business Information
317 Harrington Avenue Suites 9 & 10
Closter, NJ -
United States
DUNS: 001562821
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Unnikrishna Pillai
 Chief Scientist
 (201) 768-4448
 pillai@cptnj.com
Business Contact
 Mary Kritikos
Title: Office Manager/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 crucial to intelligence surveillance and reconnaissance operations. High resolution SAR imagery are often realized at the expense of wide bandwidth waveform, and to achieve long dwells over a wideband width, often the operating frequency band overlaps with other co-band radars, and it becomes necessary to notch out those interference bands both in the transmit mode and the receive mode. Hence it is necessary to design constant envelope wideband transmit waveforms with spectral notches to null out the co-channel interference while maintaining excellent pulse compression properties to suppress sidelobes. A general solution to this problem is presented in this proposal with flexibility to generate nearly-constant envelope waveforms with significant null depths. Notched transmit waveforms lead to poor range resolution and to compensate that, three new receiver design strategies to suppress the sidelobes are also presented here. If the image scene is sparse, this a-priori information can be used in a fundamental manner by drawing on recent results on non-linear sparsity based image processing methods. Simulations results verifying the new algorithms, robustness issues and working with primes are other planned activities under this effort.

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

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