Radar Waveforms to Discern Remote Object Attributes

Award Information
Agency:
Department of Defense
Branch
n/a
Amount:
$99,999.00
Award Year:
2013
Program:
SBIR
Phase:
Phase I
Contract:
HQ0147-13-C-7329
Award Id:
n/a
Agency Tracking Number:
B122-002-0353
Solicitation Year:
2012
Solicitation Topic Code:
MDA12-002
Solicitation Number:
2012.2
Small Business Information
52 Geiger Road, Suite 2, Rome, NY, -
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
806603515
Principal Investigator:
Doug Owen
Senior Systems Engineer
(315) 356-1669
doug.owen@heliossensors.com
Business Contact:
Walter Szczepanski
President
(315) 356-1661
walter.szczepanski@heliossensors.com
Research Institution:
Stub




Abstract
The objective of this effort is to develop signal waveform characteristics and processing algorithms that will deduce sensor-invariant attributes of a tracked object so that it can be classified, discriminated and evaluated for engagement. Under our proposed effort, we will develop enhanced radio frequency (RF) signal waveforms and associated processing algorithms, using a physics-based approach, to improve Aegis BMD engagement capability in raid environments. Our innovative techniques employ novel RF waveform characteristics such as modulation, timing, and phasing to deduce target characteristics such as its reflective, inertial, and material properties that can significantly enhance radar effectiveness and increase the probability of engagement success. The goal of our new RF waveform design effort is to require minimal changes to the radar hardware and use RF data processing algorithms that can be implemented in existing signal processors. We plan to develop a non-operational model showing how the new RF waveform characteristics can deduce such target characteristics as reflectivity, material construction, and others characteristics.

* information listed above is at the time of submission.

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