Automated Radio Frequency (RF) Spectrum Management for Wideband Electronic Warfare (EW) Systems

Award Information
Agency:
Department of Defense
Amount:
$149,997.00
Program:
SBIR
Contract:
N00024-12-P-4039
Solitcitation Year:
2011
Solicitation Number:
2011.3
Branch:
Navy
Award Year:
2012
Phase:
Phase I
Agency Tracking Number:
N113-179-0270
Solicitation Topic Code:
N113-179
Small Business Information
Research Associates of Syracuse
111 Dart Circle, Rome, NY, -
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
153924188
Principal Investigator
 Stan Driggs
 Research Engineer Senior
 (315) 339-4800
 sdriggs@ras.com
Business Contact
 Stan Hall
Title: Vice President of Operati
Phone: (315) 339-4800
Email: shall@ras.com
Research Institution
 Stub
Abstract
An adaptive, multi-faceted approach is developed for wideband spectrum recognition and management for dynamically (automatically) adapting the EW receiver architecture to tolerate and operate in the presence of large narrow- and wide-band interference. At RF, interference suppression (integrated with RF filtering and attenuation), reduces strong interference below the AD (and other components) saturation limits. High level RF signal detection predicts intermods and spurs enabling efficient cueing of measurement resources to reduce TOI impacted by false tuning. Adaptive bandwidth channelization and precision analysis are employed to maximize SNR and measurement quality. Knowledge of known interferers (i.e. own-ship radar and SATCOM) is employed.. Proven designs for Interference Detection and Characterization measure and report BOTH the signal and interference, maintaining high POI in the presence of interference for cases when time and frequency overlaps occur. The approach does not rely on an A/D technology, but rather on reconfigurable processing to enhance system performance and is also synergistic with adaptive beam forming methods. An architecture simulation (MATLABTM) is used to obtain performance estimates illustrating the efficacy of obtaining 100% signal POI, with the high dynamic range and spectral coverage required. Cost versus performance is characterized versus bandwidth, SNR, SIR, S(N+I)R or other key parameters.

* information listed above is at the time of submission.

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