Spectrum Monitoring Payload for ScanEagle Unmanned Aerial Vehicle
Navy SBIR 2014.2 - Topic N142-114
ONR - Ms. Lore-Anne Ponirakis - firstname.lastname@example.org
Opens: May 23, 2014 - Closes: June 25, 2014
N142-114 TITLE: Spectrum Monitoring Payload for ScanEagle Unmanned Aerial Vehicle
TECHNOLOGY AREAS: Air Platform, Sensors, Battlespace
ACQUISITION PROGRAM: PMW-120
RESTRICTION ON PERFORMANCE BY FOREIGN NATIONALS: This topic is "ITAR Restricted". The information and materials provided pursuant to or resulting from this topic are restricted under the International Traffic in Arms Regulations (ITAR), 22 CFR Parts 120-130, which control the export of defense-related material and services, including the export of sensitive technical data. Foreign nationals may perform work under an award resulting from this topic only if they hold the "Permanent Resident Card", or are designated as "Protected Individuals" as defined by 8 U.S.C. 1324b(a)(3). If a proposal for this topic contains participation by a foreign national who is not in one of the above two categories, the proposal may be rejected.
OBJECTIVE: Develop instrument package (including antenna system) for ScanEagle unmanned aerial vehicle (UAV) that facilitates sampling the electromagnetic (EM) field from emitters of opportunity in the 100 MHz10 GHz range.
DESCRIPTION: A variety of tools exist to estimate EM propagation. Nonetheless, the processing chain (weather models, EM propagation models, etc.) does not produce an estimate of the state of the EM propagation environment that is coherent in time and space with the true environment. ONR 322 MM and PMW-120 investments have resulted in the development of a variety of techniques for inference of the characteristics of the propagation medium from sampling of the EM Field via shipboard radars and communications, processes referred to as refractivity-from-clutter (RFC) [1, 2] and refractivity-from-radio (RFR). [3, 4] Efforts are underway as well to fuse these new forms of data with background fields of atmospheric refractivity generated by numerical weather prediction models. A significant gap in the EM field measurements is that the Navy normally lacks high-quality observations (e.g., accurate measurements of power normalized for the effect of antenna patterns, etc.) at altitudes above those associated with shipboard antennas.
The objective of this research is to enable operational forces to capture measurements of the EM field for this kind of processing at heights through and then above the marine atmospheric boundary layer (MABL). Successful execution of this SBIR topic would support a proof-of-concept demonstration for a spectrum monitoring capability for the ScanEagle unmanned aerial vehicle (UAV). The ScanEagle is already employed for carrying meteorological (as well as other) payloads. Functionally, the spectrum monitoring capability would do the same thing a desk-top spectrum analyzer would do if controlled by a computer to measure received power for a dozen or so targeted signals of opportunity.
The offeror will design a spectrum monitoring capability that possesses the following attributes:
The trade-space for the development should take advantage of the following:
PHASE I: Define and develop a concept for a Spectrum Monitoring Payload System for ScanEagle Unmanned Aerial Vehicle that can meet the performance requirements and the SWaP constraints listed in the description.
PHASE II: Produce a prototype package that works with a ScanEagle UAV. This will be an all-up system whose spectrum monitoring plan is configured by users before the mission. The package will be installable in a UAV, and utilize the UAV's onboard connections. The antennas for the package shall be assessed to ensure acceptability for installation.
PHASE III: The spectrum monitoring payload will be productized as an enhancement to the Airborne LIDAR package that is the subject of a Technology Transition Agreement between NAVOCEANO and PMW-120. The productization shall include:
PRIVATE SECTOR COMMERCIAL POTENTIAL/DUAL-USE APPLICATIONS: Telecom industry could use technology to lower cost of field measurements used in antenna site studies.
2. Karimian, Ali, Caglar Yardim, Peter Gerstoft, William S. Hodgkiss, and Amalia E. Barrios, Refractivity Estimation from Sea Clutter: An Invited Review, Radio Science, 2011.
3. Peter Gerstoft, Donald F. Gingras, Member, L. Ted Rogers, and William S. Hodgkiss, "Estimation of Radio Refractivity Structure Using Matched-Field Array Processing", IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, VOL. 48, No. 3, March 2000.
4. Rogers, L.T., "Likelihood Estimation of Tropospheric Duct Parameters from Horizontal Propagation Measurements," Radio Science, (32) 1, 1997.
KEYWORDS: Spectrum; propagation; unmanned; payload; swap; telemetry