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Prediction of Equivalent System Temperature: A Computer Methodology

Award Information

Agency:
Department of Commerce
Branch:
N/A
Award ID:
30875
Program Year/Program:
1996 / SBIR
Agency Tracking Number:
30875
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Applied Data Trends, Inc.
P.O. Box 4445 Huntsville, AL 35815
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1996
Title: Prediction of Equivalent System Temperature: A Computer Methodology
Agency: DOC
Contract: 201
Award Amount: $200,000.00
 

Abstract:

There is a global trend towards utilization of satellite communications for information services. Equivalent system temperature, Ts, is a significant parameter in quantifying the antenna system/link performance, because it represents the noise power spectral density in antenna system figures-of-merit, such as receiver gain/system temperature (G/T), and end-to-end Signal to Noise Ratio (SNR). Unfortunately, Ts is dependent on many parameters. This presents a significant problem in predicting system performance in the operational environment (indoors - the antenna sees roughly the ambient temperature, outdoors - the antenna sees many other noise sources that may vary significantly over time). An innovative computer methodology is proposed that uses a novel application of noise theory and an integration of new and existing algorithms to estimate a statistical "worst case" in the operating environment based upon a desired availability. The specific objectives of the Phase I effort are to: develop a method to measure the composite system noise fugure; develop a statistical method for predicting system ambient operating temperature; develop a method to statistically estimate equivalent antenna temperature; and select supporting computer algorithms. The technical approach is to resolve each objective by addressing the individual uncertainties and unknowns of the methodology.

Principal Investigator:

Derrick T. Copeland
Chief Executive Officer
0

Business Contact:

Small Business Information at Submission:

Applied Data Trends, Inc.
P.O. Box 4445 Huntsville, AL 35815

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