CTAS tracking filter

Bortins, Richard; Hunter, C.; Miller, Joseph A.

doi:10.2514/6.1996-3722

Cited by 1 publication

(1 citation statement)

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“…An alternate ARTS radar tracking filter, based on a position and velocity Kalman filter developed for the FAA, was also evaluated. 11 This Kalman filter formulation was enhanced by the authors, by modeling the horizontal velocity errors as firstorder Gauss Markov errors. 15 This formulation provides a more robust formulation in the presence of unexpected aircraft speed and heading maneuvers, as shown in Figure 8.…”

Section: Arts Tracking Software Performance Analysismentioning

confidence: 99%

Final Approach Spacing Tool (FAST) velocity accuracy performance analysis

Mueller¹,

Robinson

1998

Guidance, Navigation, and Control Conference and Exhibit

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The NASA passive Final Approach Spacing Tool (FAST) provides advisory information to the terminal air traffic controller for sequencing and merging of landing aircraft. It consists of the Trajectory Synthesizer (TS) and the Scheduling Logic (SL). FAST has undergone extensive field testing and performance evaluations of the FAST TS algorithms have been conducted. However, no analytical performance evaluations of the FAST SL logic have been performed to date. This paper evaluates the sensitivity of the FAST SL algorithms to velocity errors which are introduced by the radar tracking software. A linear error covariance analysis was performed of the terminal area radar and its alpha-beta tracking filter software. For comparison, an alternate Kalman tracking filter was also evaluated. Using these radar tracking velocity estimation error histories for a typical aircraft flight profile, the FAST TS estimated time of arrival (ETA) statistics history was obtained. To determine the impact of the velocity and ETA errors on FAST SL, figures of merit were defined which predict the probability that FAST SL will reach an incorrect aircraft sequencing decision. These figures of merit were then evaluated, based on the velocity and ETA statistics histories.

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Section: Arts Tracking Software Performance Analysismentioning

confidence: 99%