A Kalman filter algorithm for terminal-area navigation with sensors of moderate accuracy
Translational state estimation in terminal area operations, using a set of commonly available position, air data, nd acceleration sensors, is described. Kalman filtering is applied to obtain maximum estimation occuracy from the sensors but feasibility in real-time computations requires a variety of...
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Veröffentlicht in: | Journal of guidance, control, and dynamics control, and dynamics, 1983-09, Vol.6 (5), p.321-329 |
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container_title | Journal of guidance, control, and dynamics |
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creator | CICOLANI, L. S KANNING, G SCHMIDT, S. F |
description | Translational state estimation in terminal area operations, using a set of commonly available position, air data, nd acceleration sensors, is described. Kalman filtering is applied to obtain maximum estimation occuracy from the sensors but feasibility in real-time computations requires a variety of approximations and devices aimed at minimizing the required computation time with only negligible loss of accuracy. Accuracy behavior throughout the terminal area, its relation to sensor accuracy, its effect on trajectory tracking errors and control activity in an automatic flight control system, and its adequacy in terms of existing criteria for various terminal area operations are examined. The principal investigative tool is a simulation of the system. Previously announced in STAR as N83-29193 |
doi_str_mv | 10.2514/3.19838 |
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The principal investigative tool is a simulation of the system. Previously announced in STAR as N83-29193</description><subject>Accelerometers</subject><subject>Accuracy</subject><subject>Aircraft</subject><subject>Aircraft Communications And Navigation</subject><subject>Algorithms</subject><subject>Approximation</subject><subject>Area navigation</subject><subject>Bias</subject><subject>Kalman filters</subject><subject>Noise</subject><subject>Sensors</subject><subject>Simulation</subject><subject>Transmitters</subject><issn>0731-5090</issn><issn>1533-3884</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1983</creationdate><recordtype>article</recordtype><sourceid>CYI</sourceid><recordid>eNqN0U9LwzAYBvAgCs4pfgEPAUXx0Jk0Tdccx_AfDrwoeAtv02R2tM1MUnXf3m4dCOrBUyDPj_eF90HomJJRzGlyxUZUZCzbQQPKGYtYliW7aEDGjEacCLKPDrxfEEJZSscD9DLBD1DV0GBTVkE7DNXcujK81thYh7ufumygisBpwA28l3MIpW3wR0ew1423zmNrcG0L7SBoDEq1DtTqEO0ZqLw-2r5D9Hxz_TS9i2aPt_fTySwCxkWIVCoyXghR5FlKcqGKWIg8V6YgimYMeMKEEgRUQrQRhmkOigplcsgN0QUVbIjO-7lLZ99a7YOsS690VUGjbetlzGKSpmn2L5hQHnfw9Adc2NZ1R1gbysaCk-6aQ3TRK-Ws904buXRlDW4lKZHrIiSTmyI6edLLBjzIJji_CQhJkzhZrzvrYygBvlf9nnL5F9vGclkYadqqq_AzsC9WJ51C</recordid><startdate>19830901</startdate><enddate>19830901</enddate><creator>CICOLANI, L. 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language | eng |
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source | NASA Technical Reports Server; Alma/SFX Local Collection |
subjects | Accelerometers Accuracy Aircraft Aircraft Communications And Navigation Algorithms Approximation Area navigation Bias Kalman filters Noise Sensors Simulation Transmitters |
title | A Kalman filter algorithm for terminal-area navigation with sensors of moderate accuracy |
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