Coastal Battlefield Reconnaissance and Analysis (COBRA) Hardware In The Loop and Software Sensor Simulator

Coastal Battlefield Reconnaissance and Analysis (COBRA) Hardware In The Loop and Software Sensor Simulator

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00178-18-C-9002
Agency Tracking Number: N161-045-0393
Amount: $1,009,997.00
Phase: Phase II
Program: SBIR
Awards Year: 2018
Solicitation Year: 2016
Solicitation Topic Code: N161-045
Solicitation Number: 2016.1
Small Business Information
P.O. Box 2607, Winnetka, CA, 91396
DUNS: 082191198
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 David Hamrick
 (520) 770-6106
 dhamrick@arete.com
Business Contact
 Michael Onstott
Phone: (520) 770-6022
Email: contractsx@arete.com
Research Institution
N/A
Abstract
This project addresses the issue of characterizing current and future Coastal Battlefield Reconnaissance and Analysis passive sensors and their impact on system performance. COBRA currently utilizes a passive, multi-spectral imaging sensor and is investigating other sensors for future Block I and Block II systems. There is a need for evaluating and comparing the performance of these sensors to facilitate design decisions and operational performance estimates. To predict operational performance of an imaging sensor it is not sufficient to simply make standard laboratory measurements, such as modulation transfer function. Rather, it is necessary to evaluate the system including both the sensor and processing algorithms in operationally relevant tests. However, field tests of the full COBRA system are expensive, and when comparing multiple sensor alternatives the test matrix can grow large.
Arets solution will deliver a Hardware-in-the-Loop (HiL) test-bed and Software Sensor Simulator to the COBRA program comprised of; Hardware-based optical instruments supporting camera characterization sufficient to populate a Software Sensor Model and generate simulated imagery, Closed-loop model validation whereby COBRA sensor imagery is generated on the HiL platform and compared to the model-generated imagery, and Software Performance Estimation model that estimates COBRA system performance based on the validated sensor model.

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

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