View source for Low-Observable Nonlinear Trajectory Generation for Unmanned Air Vehicles

{{HTDB paper
| authors = Kathy Misovec, Tamer Inanc, Jerry Wohletz, Richard Murray
| title = Low-Observable Nonlinear Trajectory Generation for Unmanned Air Vehicles
| source = 2003 Conference on Decision and Control (CDC)
| year = 2003
| type =  Conference 
  Paper
| funding = DARPA/MICA
| url = http://www.cds.caltech.edu/~murray/preprints/miwm03-cdc.pdf
| abstract = 
This paper explores low observability flight path planning of unmanned air vehicles (UAVs)
in the presence of radar detection systems. The probability of detection model of an aircraft
near an enemy radar depends on aircraft attitude, range, and configuration. A detection model
is coupled with a simplified aircraft dynamics model. The Nonlinear Trajectory Generation
(NTG) software package developed at Caltech is used. The NTG algorithm is a gradient descent
optimization method that combines three technologies: Bsplines, output space collocation and
nonlinear optimization tools. Implementations are formulated with temporal constraints that
allow periods of high observability interspersed with periods of low observability. Illustrative
examples of optimized routes for low observability are presented.
| flags = 
| tag = miwm03-cdc
| id = 2003b
}}