Multirate Observation-Based X-Ray Pulsar Navigation Technique
Publication: Journal of Aerospace Engineering
Volume 30, Issue 1
Abstract
X-ray pulsar navigation techniques can provide the information of position and velocity for spacecraft and have proven to be an extremely promising autonomous navigation solution. Currently, one of the main problems of pulsar navigation is that the update rate of the measurement data is low. In this paper, a multirate observation pulsar navigation model is proposed to improve the update rate of measurement data. To solve the uncertainty of the measured angles in the multirate observation model of pulsar navigation, a robust extended Kalman filter (REKF) is also proposed. In order to verify the effectiveness of the model and filtering algorithm, the root-mean square (RMS) errors of the REKF for multirate observation model is compared with the extended Kalman filter (EKF) for a multirate observation model and REKF for a synchronous observation model. The simulations results show that the proposed multirate observation model and REKF are valid to improve navigation accuracy.
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References
Buist, P. J., Engelen, S., Noroozi, A., Sundaramoorthy, P., Verhagen, S., and Verhoeven, C. (2011). “Overview of pulsar navigation: Past, present and future trends.” Navigation, 58(2), 153–164.
Chester, T., and Butman, S. (1981). “Navigation using X-ray pulsars.”, Jet Propulsion Laboratory, Pasadena, CA.
Curkendall, D. W., and Border, J. S. (2013). “Delta-DOR: The one-nanoradian navigation measurement system of the deep space network—History, architecture, and componentry.” Int. J. Mol. Sci., 14(11), 23160–23187.
Deng, X. P., et al. (2013). “Interplanetary spacecraft navigation using pulsars.” Adv. Space Res., 52(9), 1602–1621.
Emadzadeh, A. A., and Speyer, J. L. (2010). “On modeling and pulse phase estimation of X-ray pulsars.” IEEE Trans. Sig. Process., 58(9), 4484–4495.
Emadzadeh, A. A., and Speyer, J. L. (2011). “X-ray pulsar-based relative navigation using epoch folding.” IEEE Trans. Aerosp. Electron. Syst., 47(4), 2317–2328.
Feng, D., Guo, H., Wang, X., and Yuan, X. (2014). “Autonomous orbit determination and its error analysis for deep space using X-ray pulsar.” Aerosp. Sci. Technol., 32(1), 35–41.
Hanson, J. E. (1996). “Principles of X-ray navigation.” Ph.D. thesis, Stanford Univ., Stanford, CA.
Li, N., Sun, S., and Ma, J. (2014). “Multi-sensor distributed fusion filtering for networked systems with different delay and loss rates.” Digital Sig. Process., 34, 29–38.
Liu, J., Fang, J. C., Kang, Z. W., Wu, J., and Ning, X. L. (2015). “Novel algorithm for X-ray pulsar navigation against doppler effects.” IEEE Trans. Aerosp. Electron. Syst., 51(1), 228–241.
Matsakis, D. N., Taylor, J., and Marshall Eubanks, T. (1997). “A statistic for describing pulsar and clock stabilities.” Astron. Astrophys., 326(3), 924–928.
Sala, J., Urruela, A., Villares, X., Estalella, R., and Paredes, J. M. (2004). “Feasibility study for a spacecraft navigation system relying on pulsar timing information.” European Space Agency, Paris, France.
Sheikh, S. I., and Pines, D. J. (2006). “Recursive estimation of spacecraft position and velocity using X-ray pulsar time of arrival measurements.” Navigation, 53(3), 149–166.
Sheikh, S. I., Pines, D. J., Ray, P. S., Wood, K. S., Lovellette, M. N., and Wolff, M. T. (2005). “The use of X-ray pulsars for spacecraft navigation.” Adv. Astronaut. Sci., 119, 105–119.
Sheikh, S. I., Pines, D. J., Ray, P. S., Wood, K. S., Lovellette, M. N., and Wolff, M. T. (2006). “Spacecraft navigation using X-ray pulsars.” J. Guidance Control Dyn., 29(1), 49–63.
Sun, H.-F., Bao, W.-M., Fang, H.-Y., and Li, X.-P. (2014). “Effect of stability of X-ray pulsar profiles on range measurement accuracy in X-ray pulsar navigation.” Acta Phys. Sin., 63(6), 10.
Sun, S. L., and Deng, Z. L. (2004a). “Multi-sensor optimal information fusion Kalman filter.” Automatica, 40(6), 1017–1023.
Sun, S.-L., and Deng, Z.-L. (2004b). “Multi-sensor optimal information fusion steady-state kalman filter weighted by scalars for systems with colored measurement noises.” Control Theory Appl., 21(4), 635–638.
Wang, Y., Zheng, W., An, X., Sun, S., and Li, L. (2013). “XNAV/CNS integrated navigation based on improved kinematic and static filter.” J. Navig., 66(06), 899–918.
Wei, E., Jin, S., Zhang, Q., Liu, J., Li, X., and Yan, W. (2013). “Autonomous navigation of Mars probe using X-ray pulsars: Modeling and results.” Adv. Space Res., 51(5), 849–857.
Xiong, K., Wei, C., and Liu, L. (2012). “Robust Kalman filtering for discrete-time nonlinear systems with parameter uncertainties.” Aerosp. Sci. Technol., 18(1), 15–24.
Zhai, G., Zhang, J., and Zhou, Z. (2013). “Coordinated target localization base on pseudo measurement for clustered space robot.” Chin. J. Aeronaut., 26(6), 1524–1533.
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© 2016 American Society of Civil Engineers.
History
Received: Nov 21, 2015
Accepted: May 4, 2016
Published online: Jul 19, 2016
Discussion open until: Dec 19, 2016
Published in print: Jan 1, 2017
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