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Algorithms for MIMO Techniques to Enable a Coherent Distributed Array from Multiple Airborne Platforms

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8651-22-P-0084
Agency Tracking Number: F212-0007-0010
Amount: $99,961.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: AF212-0007
Solicitation Number: 21.2
Timeline
Solicitation Year: 2021
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-01-12
Award End Date (Contract End Date): 2022-10-12
Small Business Information
5042 Technology Parkway Suite 100
Fort Collins, CO 80528-1111
United States
DUNS: 956324362
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Nick Borchers
 (970) 207-2200
 nick.borchers@numerica.us
Business Contact
 Jason Johnson
Phone: (970) 207-2245
Email: jason.johnson@numerica.us
Research Institution
N/A
Abstract

Numerica proposes an agile approach to distributed coherent beamforming for ad-hoc mobile sensor networks.  The key novel elements of our approach include: (1) computational sensing approach to multi-sensor data fusion for target detection and parameter estimation leveraging multi-scan, multi-sensor data, (2) adaptive use of multiple potential radar modes such as MIMO cohere-on-receive, full cohere-on-transmit and hybrid solutions allowing graceful degradation in the presence of increasing PNT uncertainties, (3) exploration of novel beamforming approaches intended to reap the benefits of fully-coherent beam-forming in the near-field of widely-deployed sensors and amendable for use by search modes to provide enhanced detection range, (4) utilization of advanced optimization-based techniques for agile sensor resource management that is able to rapidly adapt to changing deployment of the mobile sensor network, quality of the PNT solution, and evolving threats.  The SRM solution must balance multiple objectives of search, precision tracking, and discrimination/identification.  It schedules tasks and assigns sensors to task in a manner intended to maximize the net benefit of the sensor network in the face of multiple objectives, whether it be by multi-tasking (assigning nodes to disjoint tasks that can be executed in parallel) or coordination (assigning multiple sensors to collaborate on a given task).

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

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