Computer Science – Performance
Scientific paper
Mar 1981
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1981itaes..17..314j&link_type=abstract
IEEE Transactions on Aerospace and Electronic Systems, vol. AES-17, Mar. 1981, p. 314-319.
Computer Science
Performance
Deep Space, Infrared Scanners, Moving Target Indicators, Noise Reduction, Signal Processing, Space Surveillance, Background Radiation, Black Body Radiation, Remote Sensors, Spectral Sensitivity, Stellar Radiation, Surveillance Radar
Scientific paper
In deep space surveillance missions that use high-sensitivity IR sensor systems, satellite targets must be detected among a background scene of thousands of stars. Data stream processing must provide early rejection in the processing stages of the star scene to allow target detection and to meet the downlink data transmission capacity constraint. This paper describes two star-elimination techniques and analyzes their performance: a multicolor elimination concept and a moving target indicator (MTI) technique. Multicolor elimination methods are found to reduce the star scene to a star leakage rate of about 39 stars/sq deg; the MTI technique is found to reduce the star scene to a dramatically low star leakage rate of less than 0.05 stars/sq deg.
Ho C. Q.
Johnson Charles R.
Sentovich M. F.
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