SBIR/STTR Research Award
Radar Cross Section Testing for Modeling and Simulations
Award amount
$99,999Program and phase
SBIR · Phase IAward year
2018Award details
- Awarding agency
- Department of Defense
- Branch
- Missile Defense Agency
- Recipient company
- ANDRO COMPUTATIONAL SOLUTIONS LLC
- Proposal award date
- 2017-11-06
- Contract end date
- 2018-05-05
- UEI
- RJP8JJQGMKY4
- Solicitation number
- 2017.2
- Topic code
- MDA17-009
Research abstract
The objective of the proposal is to conduct theoretical research and development related to the expedited radar cross section (RCS) testing to determine the merit and technical feasibility of proposed concept. In Phase I ANDRO/Alion team proposes adapting techniques drawn from real-time electronic warfare counter-measure systems, multi-threat response and characterization where direct use of short duration, stepped Linear Frequency Modulated pulses in conjunction with stretch processing detection. These approaches support the objective of maximizing signal to noise ratio (SNR) while minimizing the amount of processed data. The primary goal is to identify and optimize measurement techniques which expedite RCS data acquisition while supporting in-situ data processing in a typical near-field measurement arrangement that maximize the SNR and reduce the amount of averaging over the greatest span of frequencies.This approach comprises a trade study on current pulse widths, bandwidths, round trip times and SNR, study of those parameters to estimate potential improvement in the data acquisition speed as well as component modeling using available software tools such as ANDRO E3Expert and MATLAB. The trade study along with software models of RCS test components will allow a technical assessment of proposed strategies to take place.Approved for Public Release | 17-MDA-9395(24 Oct 17)
Technology keywords
Not reported
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Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.
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Awards with the same topic code
Verified by an exact topic code match. This is not a text-similarity match.