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Automated Radio Frequency (RF) Spectrum Management for Wideband Electronic…

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
Program Year/Program:
2012 / SBIR
Agency Tracking Number:
N113-179-0270
Solicitation Year:
2011
Solicitation Topic Code:
N113-179
Solicitation Number:
2011.3
Small Business Information
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2012
Title: Automated Radio Frequency (RF) Spectrum Management for Wideband Electronic Warfare (EW) Systems
Agency / Branch: DOD / NAVY
Contract: N00024-12-P-4039
Award Amount: $149,997.00
 

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.

Principal Investigator:

Stan Driggs
Research Engineer Senior
(315) 339-4800
sdriggs@ras.com

Business Contact:

Stan Hall
Vice President of Operati
(315) 339-4800
shall@ras.com
Small Business Information at Submission:

Research Associates of Syracuse
111 Dart Circle Rome, NY -

EIN/Tax ID: 161276982
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No