Potential of Multi constellation Global Navigation Satellite System in Indian Missile Test Range Applications

Keywords: Test range, Calibration, Satellite navigation, GNSS, Tracking radar, EOTS

Abstract

In this paper, the potentials of using Global Navigation Satellite System (GNSS) techniques in the complex calibration procedure of the tracking sensors for missile test range applications have been presented. The frequently used tracking sensors in test range applications are- electro-optical tracking stations (EOTS) and tracking radars. Over the years, the EOTS are used as the reference for bias estimation of the radars. With the introduction of GPS in test range applications, especially the DGPS, the reference for bias estimation got shifted to DGPS from the EOTS. However, the achievable position solution accuracy is limited to the order of a few meters for DGPS, EOTS, and Radars. With the evolution of Multi-constellation GNSS and carrier-phase based measurement techniques in satellite navigation, achievable position solution accuracies may be improved to sub-meter level. New navigation techniques like real time kinematic (RTK) and precise point positioning have the potentials for use in the calibration procedures of the missile test ranges to the accuracies of centimeter-level. Moreover, because of the availability of a large number of navigation signals over the Indian region, multi-constellation GNSS receivers can enhance signal availability, reliability, and accuracies during the calibration of missile test ranges. Currently available compact, low-cost GNSS modules also offer the possibilities of using these for cost-effective, networked RTK for dynamic calibration of test ranges reducing cost and resource requirements.

Published
2020-10-12
How to Cite
GoswamiM., MahatoS., GhatakR., & BoseA. (2020). Potential of Multi constellation Global Navigation Satellite System in Indian Missile Test Range Applications. Defence Science Journal, 70(6), 682-691. https://doi.org/10.14429/dsj.70.15570
Section
Missile System