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Proceedings Paper

Common data link (CDL) interference model
Author(s): Caramen Cerasoli; Wiley Zhao; John J. Santapietro; R. E. McAlinden; B. F. Smith; P. A. Jacyk
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Paper Abstract

The increasing use of airwaves for military communication and surveillance and commercial applications places burdens on spectrum use. This crowding of the spectrum presents two broad problem categories. The first is "co-site interference" where numerous transmitters and receivers are physically located in a small area and share a given portion of the spectrum. Under these conditions, a receiver can be "victim" to a co-located transmitter. The second category involves numerous transmitters (typically airborne) well separated from each other but communicating to receivers placed in a relatively small area. The Common Data Link (CDL) refers to a standard protocol for military data delivery and communication. Surveillance platforms such as Tactical Unmanned Aerial Vehicles (TUAV), JSTARS, U2's, Global Hawks will stream high rate surveillance data (radar, visual and/or infrared imagery, etc.) down to ground terminals. As such, bandwidths are wide (100's MHz) and the potential exists for ground receivers to be victim to signals from airborne transmitters other than its desired source. MITRE has developed a CDL Interference Model to assess potential problems in realistic tactical surveillance scenarios. This paper documents the physical basis of the CDL Interference Model as well as the visualization software architecture that integrates the model with ModSAF/OneSAF.

Paper Details

Date Published: 30 July 2002
PDF: 12 pages
Proc. SPIE 4744, Radar Sensor Technology and Data Visualization, (30 July 2002); doi: 10.1117/12.488299
Show Author Affiliations
Caramen Cerasoli, MITRE Corp. (United States)
Wiley Zhao, MITRE Corp. (United States)
John J. Santapietro, MITRE Corp. (United States)
R. E. McAlinden, MITRE Corp. (United States)
B. F. Smith, MITRE Corp. (United States)
P. A. Jacyk, MITRE Corp. (United States)

Published in SPIE Proceedings Vol. 4744:
Radar Sensor Technology and Data Visualization
Nickolas L. Faust; Nickolas L. Faust; James L. Kurtz; Robert Trebits, Editor(s)

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