By Topic

User position estimation for search and rescue using satellite in LEO constellation

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $33
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
P. V. Sudaroli ; ISRO Satellite Centre, Bangalore, India ; S. Kannan ; N. Nagarajan

Based on the Doppler measurements from a user's beacons, a simple algorithm is developed to estimate the user position for search and rescue purposes. The algorithm uses the measurements only at the beginning, middle and end of visibility of the satellite over the user region. In the case of a constellation of satellites in low Earth orbits (LEO), this algorithm is shown to yield accuracies better than 1 km by utilising the estimates (of the user position) from different satellites through a recursive average filter. Simulation studies are carried out for three different orbit altitudes and different user latitudes. With the increasing interest in LEO constellations for communications, it is hoped that such position estimation algorithms will further enhance the application of LEO constellations

Published in:

IEE Proceedings - Radar, Sonar and Navigation  (Volume:144 ,  Issue: 1 )