NDLI: Sensor Calibration using In-Situ Celestial Observations to Estimate Bias in Space-Based Missile Tracking

Content Provider	IEEE Xplore Digital Library
Author	Clemons, T.M. Kuo-Chu Chang
Copyright Year	1965
Abstract	The work presented here demonstrates a new methodology of using star observations and advanced nonlinear estimation algorithms to improve the ability of a space-based electro-optical (EO) tracking system to track targets in space. Nominally, the tracking system consists of two satellites flying in a lead-follower formation tracking a ballistic or space target. Each satellite is equipped with a narrow-view EO sensor that provides azimuth and elevation measurements to the target. The tracking problem is made more difficult due to a constant, nonvarying or slowly varying bias error present in each sensor's line of sight (LOS) measurements. The conventional sensor calibration process occurs prior to the start of the tracking process and does not account for subsequent changes in the sensor bias. This study develops a technique to estimate the sensor bias from celestial observations while simultaneously tracking the target. As stars are detected during the target tracking process, the instantaneous sensor pointing error can be calculated as the difference between a measurement of the celestial observation and the known position of the star. The system then utilizes a bias filter to estimate the bias value based on these measurements and correct the target line of sight measurements. After bias correction, we compare the ability of three advanced nonlinear state estimators to update the target state vector: a linearized Kalman filter (LKF); an extended Kalman filter (EKF); and an unscented Kalman filter (UKF). The bias correction-state estimation algorithm is validated with a number of scenarios that were created using The Satellite Toolkit (STK). The target position error resulting from the nonlinear estimation filters are compared to the Cramer-Rao lower bound (CRLB) and a filter consistency check. The results of this research provide a potential solution to sensor calibration while simultaneously tracking a space target with a space-based sensor system.
Starting Page	1403
Ending Page	1427
Page Count	25
File Size	7475643
File Format	PDF
ISSN	00189251
Volume Number	48
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Target tracking Space vehicles Vectors Radar tracking Missiles Measurement uncertainty Kalman filters
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Aerospace Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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