42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475)
DOI: 10.1109/cdc.2003.1273100
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Low-observable nonlinear trajectory generation for unmanned air vehicles

Abstract: The public reporting buitlen for this collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regaiding this burden estimate or any other aspect of this collection of infonnation, including suggestions for reducing this buidcn, to Department of Defense, Washington Headq… Show more

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Cited by 34 publications
(33 citation statements)
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“…Introduction N OWADAYS, unmanned aerial vehicles (UAVs) [1] have been widely applied to information acquirement, threat reconnaissance, cooperative surveillance, heterogeneous cooperation [2], and high-speed strikes [3]. Automatic target recognition is a key problem to be solved for fulfilling these complicated tasks.…”
Section: Nomenclaturementioning
confidence: 99%
“…Introduction N OWADAYS, unmanned aerial vehicles (UAVs) [1] have been widely applied to information acquirement, threat reconnaissance, cooperative surveillance, heterogeneous cooperation [2], and high-speed strikes [3]. Automatic target recognition is a key problem to be solved for fulfilling these complicated tasks.…”
Section: Nomenclaturementioning
confidence: 99%
“…Norsell 5 , et al constructs the constraints of radar detecting system based on nonisotropic RCS model. Misovec 6 and Inanc 7 apply nonlinear trajectory generation method to trajectory planning, which considered the lock-loss feature of radar system. Kabamba 8 , et al formulated aircraft low observable trajectory planning as a minimax optimal control problem.…”
Section: Introductionmentioning
confidence: 99%
“…With the exception of (Moore, 2002) and (Bortoff, 2000), none of the above references account for the coupling between the RCS and dynamics through the aspect and bank angles. Moreover, only (Misovec et al, 2003) accounts for the probabilistic nature of aircraft detection by a radar.…”
Section: Introductionmentioning
confidence: 99%
“…The work of (Moore, 2002) optimized the aircraft bank and yaw angles within aerodynamic restrictions for a given route. Finally, (Misovec et al, 2003) models the detection probability as being dependent on azimuth, elevation, and slant range. With the exception of (Moore, 2002) and (Bortoff, 2000), none of the above references account for the coupling between the RCS and dynamics through the aspect and bank angles.…”
Section: Introductionmentioning
confidence: 99%