SBIR-STTR Award

Energy Efficient Signal Classifier for Dense Signal Environment
Award last edited on: 11/8/2018

Sponsored Program
SBIR
Awarding Agency
DOD : Navy
Total Award Amount
$637,458
Award Phase
2
Solicitation Topic Code
N122-140
Principal Investigator
Robert W Lowdermilk

Company Information

Specom Inc

16885 West Bernardo Drive Suite 285
San Diego, CA 92127
   (619) 884-9523
   wade.lowdermilk@specom.us
   www.specom.us
Location: Single
Congr. District: 52
County: San Diego

Phase I

Contract Number: N00014-13-M-0025
Start Date: 10/22/2012    Completed: 8/23/2013
Phase I year
2013
Phase I Amount
$149,916
Under the auspices of this SBIR program, Specom, Inc. intends to employ advanced Software Defined Radio (SDR) technology to develop deployable RF Emitter Detection and Classification capabilities that will enable USN and DoD SIGINT and communication systems to rapidly (and potentially in real-time) detect, recognize, identify and classify next generation 0x9D agile, Low Probability of Intercept (LPI), Signals of Interest (SOI) within the dense RF environment anticipated in the electronic battlefield of the future. Where appropriate, the developed RF Emitter Detection and Classification capability will support the real-time dissemination of signal classification information to related wideband communications systems which will enable them to mitigate interference and intrusion issues that result from the SOI in real-time through the use of adaptive Digital Signal Processing (DSP) and Cognitive Radio (CR) techniques.

Benefit:
Benefits of the technology developed by Specom, Inc. under the auspices of this SBIR program, include low latency, energy efficient, advanced Digital Signal Processing (DSP) based Signal Classifiers capable of detecting, identifying, tracking and classifying frequency agile, Low Probability of Intercept (LPI) Signals of Interest (SOI) in diverse, wideband and dense RF environments. The Signal Classifiers employ advanced DSP techniques that minimize the signal processing and data storage requirements and which lend themselves to cost-effective and field-deployable, low Size, Weight and Power (SWAP) systems that will significantly improve the performance of next-generation DOD SIGINT and communications systems that must confront sophisticated, next generation electronic threats. In addition, these technologies have the ability to improve both DOD and Commercial Cognitive Radio (CR) based communication systems, including those operating in unlicensed bands such as IEEE 802.22 and IEEE 802.15, since the same techniques used to detect and classify SOI may be used incorporate of enhanced agility into CR algorithms to mitigate intrusion and interference from SOI and improve available bandwidth.

Keywords:
reduced instruction sets, reduced instruction sets, Software Defined Radio, data base management, Cognitive Radio, energy efficient software, data thinning

Phase II

Contract Number: N00014-14-C-0164
Start Date: 5/20/2014    Completed: 8/20/2015
Phase II year
2014
Phase II Amount
$487,542
Spectrum monitoring and classification of Signals of Interest (SOI) and interference detection is an important process for real-time detection and monitoring of planned and unplanned signals in a wide range of SATCOM and communications applications. Specom proposes to develop the software for a spectrum monitor and waveform classifier assuming the target direct RF sampling front end and real-time High Performance Computing (HPC) platform.

Keywords:
Cognitive Radio, Cognitive Radio, Software Defined Radio, Automatic Modulation Classification, Signal Classification