Low Power, Portable (Podable) Rapid Processing of High Sample-Rate In-Phase Quadrature (IQ) Data
NAVAIR - Ms. Donna Attick - firstname.lastname@example.org
Opens: September 24, 2019 - Closes: October 23, 2019 (8:00 PM ET)
AREA(S): Air Platform, Electronics, Ground/Sea Vehicles
PROGRAM: NAE Chief Technology Office
technology within this topic is restricted under the International Traffic in
Arms Regulation (ITAR), 22 CFR Parts 120-130, which controls the export and
import of defense-related material and services, including export of sensitive
technical data, or the Export Administration Regulation (EAR), 15 CFR Parts
730-774, which controls dual use items. Offerors must disclose any proposed use
of foreign nationals (FNs), their country(ies) of origin, the type of visa or
work permit possessed, and the statement of work (SOW) tasks intended for
accomplishment by the FN(s) in accordance with section 3.5 of the Announcement.
Offerors are advised foreign nationals proposed to perform on this topic may be
restricted due to the technical data under US Export Control Laws.
Develop an open architecture, portable, podable, relatively low size, weight,
and power (SWaP) reprogrammable solution to focus computing power on high-speed
streaming data in order to rapidly extract and identify signals of interest.
Electronic receiver bandwidth and fidelity capabilities are increasing rapidly.
Each of these attributes increases file size of stored radio frequency (RF)
sample data and data rates streaming to those sensors. In most cases, the data
is packaged into summary descriptor format (such as pulse descriptor words
(PDWs)) for further ingest by on-board computing resources or stored for off-board
processing. Turning the In-Phase Quadrature (IQ) data into PDWs leaves the
potential for unprocessed and unexploited data of which the end user is
unaware. Reference 3 explains the current method of forming PDWs and the type
of information they contain. There is no common standard for PDWs as each
vendor uses their own signal detection, classification, and PDW generator
algorithm. Select a PDW format that best suits the development of the approach
to signal identification.
I: Propose a new Electronic Warfare receiver architecture where such a
system could reside, how it could access data, how it could be steered or
reprogrammed, and what the capabilities of rapidly inferring RF environment
from raw data samples are (e.g., latency, fidelity). The proposed should
understand that there is a high probability of there being multiple signals
within the frequency range of interest. Feedback from the PDW formation process
is an option to aid in deinterleaving, but the proposed approach should rely on
the predetermined mission data files that specify emitter parameters as a final
option. System must have a way of dealing with the possibility that an
emitter-mission data file is not loaded and providing the user with an
acceptable solution. The Phase I effort will include prototype plans to be
developed under Phase II.
II: Prototype a solution with (for example) GUI interaction for reprogramming
of a high bandwidth data stream. Simulate the data stream or provide by other
efforts - such that Phase II does not become an activity of designing a
high-speed receiver. The prototype should instead focus on aiding
interpretation of the data.
III DUAL USE APPLICATIONS: Perform final testing with a real-world EM dense
environment to test the developed algorithms. Demonstrate the ability to
identify complex emitters. Transition and integrate into appropriate platforms
and systems. Successful technology development would benefit Commercial Airport
Monitoring, as well as Frequency monitoring for the communication industry.
“AN/ALQ-167 - E/F Band Jammer Group.” Rodale Electronics, Inc. http://www.rodaleelectronics.com/wp-content/uploads/Rodale_ALQ-167_EF_Band.pdf
MIL-STD-810H, DEPARTMENT OF DEFENSE TEST METHOD STANDARD: ENVIRONMENTAL
ENGINEERING CONSIDERATIONS AND LABORATORY TESTS (31-JAN-2019). http://everyspec.com/MIL-STD/MIL-STD-0800-0899/MIL-STD-810H_55998/
MIL-STD-461, MILITARY STANDARD: ELECTROMAGNETIC INTERFERENCE CHARACTERISTICS
REQUIREMENTS FOR EQUIPMENT (31 JUL 1967). http://everyspec.com/MIL-STD/MIL-STD-0300-0499/MIL-STD-461_8678/
Field Programmable Gate Array; FPGA; Radio Frequency System on Chip; RFSOC; VME
International Trade Association; VITA; Graphic Processing Unit; GPU; Machine
Learning; ML; Open System Architecture; OSA; Sensor Open Systems Architecture;
SOSA; Modular Open System Architecture; MOSA; Artificial Intelligence; AI