Space-based infrared scanning sensor LOS determination and calibration using star observation

Jun Chen; Zhan Xu; Wei An; Xin-Pu Deng; Jun-Gang Yang

doi:10.1117/12.2194774

15 October 2015 Space-based infrared scanning sensor LOS determination and calibration using star observation

Jun Chen, Zhan Xu, Wei An, Xin-Pu Deng, Jun-Gang Yang

Proceedings Volume 9643, Image and Signal Processing for Remote Sensing XXI; 964326 (2015) https://doi.org/10.1117/12.2194774
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

This paper provides a novel methodology for removing sensor bias from a space based infrared (IR) system (SBIRS) through the use of stars detected in the background field of the sensor. Space based IR system uses the LOS (line of sight) of target for target location. LOS determination and calibration is the key precondition of accurate location and tracking of targets in Space based IR system and the LOS calibration of scanning sensor is one of the difficulties. The subsequent changes of sensor bias are not been taking into account in the conventional LOS determination and calibration process. Based on the analysis of the imaging process of scanning sensor, a theoretical model based on the estimation of bias angles using star observation is proposed. By establishing the process model of the bias angles and the observation model of stars, using an extended Kalman filter (EKF) to estimate the bias angles, and then calibrating the sensor LOS. Time domain simulations results indicate that the proposed method has a high precision and smooth performance for sensor LOS determination and calibration. The timeliness and precision of target tracking process in the space based infrared (IR) tracking system could be met with the proposed algorithm．

Citation Download Citation

Jun Chen, Zhan Xu, Wei An, Xin-Pu Deng, and Jun-Gang Yang "Space-based infrared scanning sensor LOS determination and calibration using star observation", Proc. SPIE 9643, Image and Signal Processing for Remote Sensing XXI, 964326 (15 October 2015); https://doi.org/10.1117/12.2194774

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