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COLORED NOISE SIMULATION AND CHARACTERIZATION, AND EFFECTS ON ATTITUDE ACCURACY

Award Information

Agency:
National Aeronautics and Space Administration
Branch:
N/A
Award ID:
17041
Program Year/Program:
1991 / SBIR
Agency Tracking Number:
17041
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
General Sciences, Incorporated
205 Schoolhouse Road Souderton, PA 18964-2416
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1991
Title: COLORED NOISE SIMULATION AND CHARACTERIZATION, AND EFFECTS ON ATTITUDE ACCURACY
Agency: NASA
Contract: N/A
Award Amount: $49,921.00
 

Abstract:

STANDARD TECHNIQUES FOR THE ESTIMATION OF ATTITUDE-DETERMINATION ACCURACY ASSUME THAT THE INPUT SENSOR DATA HAS UNCORRELATED, WHITE NOISE, AND THAT SIMULATORS GENERALLY PROVIDE WHITE NOISE. HOWEVER, REAL SENSOR NOISE IS GENERALLY OBSERVED TO HAVE MORE DOMINANT LOWER-FREQUENCY COMPONENTS. THEREFORE, THIS PROJECT WILL DEVELOP SOFTWARE TO SIMULATE COLORED NOISE EFFICIENTLY, TEST THE NOISE CHARACTERISTICS, AND ESTIMATE THE IMPACT OF THE NOISE CHARACTERISTICS ON THE PREDICTED ATTITUDE-DETERMINATION ACCURACY. THIS PROJECT WILL ALSO EXPLORE EFFICIENT-NOISE CHARACTERIZATION AS A MEANS OF AUTOMATICALLY IDENTIFYING SUBTLE ANOMALIES IN REAL DATA. THIS WORK IS NEW AND WILL ADD AN IMPORTANT PERSPECTIVE IN THE UNDERSTANDING OF OBTAINABLE ATTITUDE ACCURACLES WITH REALISTIC DATA. IT WILL ALSO PROVIDE TOOLS FOR REALISTIC DATA SIMULATION, FLIGHT-DATA CHARACTERIZATION, AND ANOMALY IDENTIFICATION. THESE TOOLS WILL BE DEVELOPED ON A PC. STANDARD TECHNIQUES FOR THE ESTIMATION OF ATTITUDE-DETERMINATION ACCURACY ASSUME THAT THE INPUT SENSOR DATA HAS UNCORRELATED, WHITE NOISE, AND THAT SIMULATORS GENERALLY PROVIDE WHITE NOISE. HOWEVER, REAL SENSOR NOISE IS GENERALLY OBSERVED TO HAVE MORE DOMINANT LOWER-FREQUENCY COMPONENTS. THEREFORE, THIS PROJECT WILL DEVELOP SOFTWARE TO SIMULATE COLORED NOISE EFFICIENTLY, TEST THE NOISE CHARACTERISTICS, AND ESTIMATE THE IMPACT OF THE NOISE CHARACTERISTICS ON THE PREDICTED ATTITUDE-DETERMINATION ACCURACY. THIS PROJECT WILL ALSO EXPLORE EFFICIENT-NOISE CHARACTERIZATION AS A MEANS OF AUTOMATICALLY IDENTIFYING SUBTLE ANOMALIES IN REAL DATA. THIS WORK IS NEW AND WILL ADD AN IMPORTANT PERSPECTIVE IN THE UNDERSTANDING OF OBTAINABLE ATTITUDE ACCURACLES WITH REALISTIC DATA. IT WILL ALSO PROVIDE TOOLS FOR REALISTIC DATA SIMULATION, FLIGHT-DATA CHARACTERIZATION, AND ANOMALY IDENTIFICATION. THESE TOOLS WILL BE DEVELOPED ON A PC.

Principal Investigator:


0

Business Contact:

Small Business Information at Submission:

General Sciences Corp
6100 Chevy Chase Dr #200 Laurel, MD 20707

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