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NASA Scientific and Technical Aerospace Reports

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s WINCOMM Project has used the CRABS tool, shown in Figure 1, to provide a platform for data recording, display, <strong>and</strong><br />

analysis of the Tropospheric Airborne Meteorological Data Reporting (TAMDAR) information in a bench test environment.<br />

Using a laptop computer the CRABS software was able connect to an ADS-B avionics suite <strong>and</strong> graphically display reported<br />

position data <strong>and</strong> TAMDAR information passed over the ADS-B data link, as well as display graphical Next Generation<br />

Weather RADAR (NEXRAD) data <strong>and</strong> selected text weather products. In the future the CRABS software will be used to<br />

provide an easily configured display for prototypes of additional weather products that may be transmitted on the ADS-B data<br />

link.<br />

Derived from text<br />

Computer Systems Programs; Broadcasting; Real Time Operation; Meteorological Radar; Meteorological Parameters; Radar<br />

Data; Data Recording; Data Links; Avionics; Transmitter Receivers<br />

20060002313 George Mason Univ., Fairfax, VA, USA<br />

A 4D Flight Profile Server <strong>and</strong> Probability-Based 4D Weather Objects: Toward a Common-Core Toolset for the NAS<br />

Klein, Alex<strong>and</strong>er; Proceedings of the Fifth Integrated Communications, Navigation, <strong>and</strong> Surveillance (ICNS) Conference <strong>and</strong><br />

Workshop; November 2005; 23 pp.; In English; See also 20060002231; Original contains color illustrations; No Copyright;<br />

Avail.: CASI: A03, Hardcopy; Available from CASI on CD-ROM only as part of the entire parent document<br />

We present a concept for a NAS-wide high-performance server providing up-to-the-minute information on predicted 4D<br />

flight profiles (4DFP s) for all aircraft in the NAS, both airborne <strong>and</strong> those still on ground. The 4D information on significant<br />

weather objects, such as convective weather cells, is also provided by the server <strong>and</strong> is ‘fuzzy’ (probability based). The server<br />

facilitates instantaneous traffic forecasting, combined with weather forecasting, for predictive management of traffic flows both<br />

NAS-wide <strong>and</strong> at major local facilities. The data on the server is shared <strong>and</strong> used by both traffic flow management <strong>and</strong> airline<br />

operations centers. This common, rapid-access database features asynchronous operation: a variety of authorized tools <strong>and</strong><br />

applications are able to access the data, update or add 4D flight <strong>and</strong> weather information, calculate reroutes etc at any time.<br />

Each time, the updated information becomes immediately available to all users. One possible way of using this capability is<br />

fast-forwarding, or ‘nowcasting’, whereby the user can project the traffic <strong>and</strong> weather situation ahead, perhaps up to two hours<br />

ahead, in seconds, <strong>and</strong> can view the traffic/weather animation on the screen. These tools would be parts of a Common Core<br />

data- <strong>and</strong> toolset shared by air navigation service providers <strong>and</strong> NAS users. Potential benefits include improved productivity,<br />

reduced delays <strong>and</strong> less extra miles flown.<br />

Author<br />

Air Navigation; Flight Paths; Probability Theory; Predictions; Flow Distribution; Data Bases; Forecasting<br />

20060002319 Minnesota Univ., Minneapolis, MN, USA<br />

Adjustable Range Broadcast for Desired Airborne Network Connectivity<br />

Zhao, Yiyuan J.; Wang, Yang; Proceedings of the Fifth Integrated Communications, Navigation, <strong>and</strong> Surveillance (ICNS)<br />

Conference <strong>and</strong> Workshop; November 2005; 18 pp.; In English; See also 20060002231; Original contains color illustrations;<br />

No Copyright; Avail.: CASI: A03, Hardcopy; Available from CASI on CD-ROM only as part of the entire parent document<br />

Airborne networks are special types of ad hoc wireless networks that can be used on air vehicles, moving platforms, <strong>and</strong><br />

ground stations to enhance situational awareness, coordination, <strong>and</strong> efficiency. This is achieved through the exchange of state<br />

information among individual vehicles in a timely, reliable, <strong>and</strong> secure fashion. In commercial aircraft operation, for example,<br />

it is essential for pilots <strong>and</strong>/or ground controllers to maintain a high level of situational awareness of neighboring traffic. The<br />

Automatic Dependent Surveillance-Broadcast (ADS-B) concept has emerged as a feasible <strong>and</strong> low-cost system for such<br />

purposes. In ADS-B, an aircraft automatically broadcasts its position, velocity, <strong>and</strong> other information on a regular basis (every<br />

one second or so) via a digital data link. All properly equipped aircraft within a certain range can receive this information.<br />

Because an aircraft only broadcasts its own state information periodically, however, the current ADS-B concept is essentially<br />

a single-node operation scheme <strong>and</strong> its range is limited to the direct transmission range of the airborne antenna. In order to<br />

increase the transmission range, a network extension of the ADS-B concept was proposed, in which individual aircraft not only<br />

broadcast their own state information, but also relay received information of other aircraft; thus forming a multi-hop<br />

broadcasting system. This airborne network is shown to be able to greatly enhance the range of reach-ability of aircraft state<br />

information transmission. The current paper extends the multi-hop airborne network concept to allow for individual vehicles<br />

to adjust their broadcast ranges in order to establish network connectivity over a specified safety region needed for<br />

airborne-based self separation. In this concept, a desired safety region is first defined for a given cluster of aircraft. Each<br />

17

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