IRNSS Satellite Parameter Estimation using Combination Strategy

Babu R; Prasanta Mula; S C Ratnakara

Authors

Babu R
Prasanta Mula
S C Ratnakara

batch least square (bls), extended kalman filter (ekf), signal in space (sis), line of sight (los), user equivalent range error ( uere)

Abstract

Indian regional Navigation Satellite system (IRNSS) is going to be an independent, indigenous navigation satellite system fully controlled by India, planned by ISRO. A system was designed of regional navigation satellite constellation, as an alternate to GPS constellation, for providing space based navigation support to various land, sea and air navigation users over the Indian region. The proposed IRNSS constellation consists of 7 satellites (3 in GEO and 4 in inclined GSO with 29 deg inclination). The continuous visibility of GEO and GSO satellites for near-equator regions provides a promising alternative for regional navigation. The Signal In Space (SIS) broadcasts satellite ephemeris in quasi keplarian elements and satellite clock coefficients which forms the primary navigation parameters generated from navigation software located at INC (ISRO Navigation Centre), bylalu, India. The determination of these parameters is performed by two types of technique, batch least square (BLS) and Extended Kalman Filter (EKF).

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How to Cite

IRNSS Satellite Parameter Estimation using Combination Strategy. (2015). Global Journal of Science Frontier Research, 15(A3), 87-95. https://www.journalofscience.org/index.php/GJSFR/article/view/1475

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References

IRNSS Comprehensive Review Document.

M Athans, P Falb (1966) Optimal Contro.

A Gelb (1966) Applied Optimal Estimation.

(2007) Unknown Title. 27(3).

James R Wright (2002) Optimal Orbit Determination.

R Kalman (1960) A New Approach to Linear Filtering and Prediction Problems. 82, 35-45.

C Price (1968) An analysis of the divergence problem in the Kalman filter. 13(6), 699-702.

Mark Psiaki (2005) Backward-Smoothing Extended Kalman Filter. 28(5), 885-894.

S Sherma (1958) Non-mean-square error criteria. 4(3), 125-126.

A Mohamed, K Schwarz (1999) Adaptive Kalman Filtering for INS/GPS. 73(4), 193-203.

S Kavitha, Prasanta Mula, Manamohan Kamat, S Nirmala, Joel Manathara (2015) Extended Kalman filter-based precise orbit estimation of LEO satellites using GPS range measurements. 55(1), 235-240.