Title of article :
Modeling spatial density in low earth orbits using wavelets and random search Original Research Article
Author/Authors :
D. Sudheer Reddy، نويسنده , , N. Gopal Reddy، نويسنده , , A.K. Anilkumar، نويسنده ,
Issue Information :
دوهفته نامه با شماره پیاپی سال 2011
Abstract :
The events that occurred after 2007 such as Chinese anti-satellite test, explosion of Briz-M upper stage, break up of cosmos-2421 and collision of cosmos-2251 with Iridium-33 satellites have completely changed the spatial density patterns in low earth orbits. This has increased the risk of collision between active satellites and debris created by them. Aftermath, the risk assessment of possible collisions called as conjunction analysis of working satellites from day to day has become more crucial. Spatial density models are useful in understanding the long-term likelihood of a collision in a particular region of space and helpful in pre-launch orbit planning. In this paper we present an algorithmic procedure for automatically estimating exact model parameters corresponding to the peak location and number of peaks using wavelets that will speed up the parameter estimation process for the models with peaks.
Keywords :
Spatial density models , Peak estimation , Laplace distribution , Conjunction analysis , Parameter estimation , Wavelets
Journal title :
Advances in Space Research
Journal title :
Advances in Space Research