Indoor Cooperative MAV Navigation using Signals of Opportunity

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$100,000.00
Award Year:
2009
Program:
SBIR
Phase:
Phase I
Contract:
FA8651-09-M-0088
Agency Tracking Number:
F083-099-0131
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
TOYON RESEARCH CORP.
6800 Cortona Drive, Goleta, CA, 93117
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
054672662
Principal Investigator:
Kenan Ezal
Director, Systems Enginee
(805) 968-6787
carl.byington@impact-tek.com
Business Contact:
Marcella Lindbery
President
(805) 968-6787
mark.redding@impact-tek.com
Research Institution:
n/a
Abstract
Toyon Research Corporation proposes to determine the feasibility of developing a cooperative indoor navigation framework using signals of opportunity (SoOP). SoOP-aided navigation (SAN) will rely on signals such as those being emitted by WiFi and WiMAX access points and routers. A SoOP sensor design with direction-finding (DF) capability will be developed and its angle of arrival accuracy evaluated. The cooperative navigation system will be compatible with Toyons plug-and-play Software-Defined Navigation(TM) architecture that enables on-the-fly changes to the sensor mixture. The SoOP/DF sensor will be incrementally augmented with alternative sensors such an inertial measurement unit (IMU) and a camera. The performance of each sensor configuration will be evaluated. Communication bandwidth and network topology requirements will be determined. A roadmap for developing the system hardware and software will be identified in preparation for a Phase II demonstration. BENEFIT: The cooperative SoOP-aided navigation (SAN) system will permit accurate navigation under GPS-denied conditions and is applicable to both indoor and outdoor missions. All civilian and military navigation platforms with severe size, weight and power (SWAP) constraints are potential hosts for the proposed cooperative navigation system. These include ground-based and aerial unmanned vehicles, robots, and farming systems.

* information listed above is at the time of submission.

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