Direction/Distance/Velocity Measurements Deeply Integrated Navigation for Venus Capture Period

Liu, Jin; Ning, Xiaolin; Ma, Xin; Fang, Jiancheng; Liu, Gang

doi:10.1017/s0373463317000947

Cited by 8 publications

(4 citation statements)

References 23 publications

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“…Because of the Doppler effect, the cumulative profile of pulsar directly obtained by accumulating X-ray pulsar photons has a significant distortion, leading to the pulsar TOA’s drift. To solve this problem, we adopt an XNAV navigation method (Liu et al , 2018) that can suppress the Doppler effect, which works as follows: According to the position information provided by the Kalman filter, the arrival time of the X-ray photons can be corrected. These photons are used to accumulate the pulsar profile; then, the pulsar TOA is estimated to obtain the position in the line-of-sight direction of the pulsar.…”

Section: Deep Integrated Navigation Systemmentioning

confidence: 99%

INS/CNS/DNS/XNAV deep integrated navigation in a highly dynamic environment

Liu

Wang

et al. 2022

AEAT

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Purpose This study aims to address the problem of the divergence of traditional inertial navigation system (INS)/celestial navigation system (CNS)-integrated navigation for ballistic missiles. The authors introduce Doppler navigation system (DNS) and X-ray pulsar navigation (XNAV) to the traditional INS/CNS-integrated navigation system and then propose an INS/CNS/DNS/XNAV deep integrated navigation system. Design/methodology/approach DNS and XNAV can provide velocity and position information, respectively. In addition to providing velocity information directly, DNS suppresses the impact of the Doppler effect on pulsar time of arrival (TOA). A pulsar TOA with drift bias is observed during the short navigation process. To solve this problem, the pulsar TOA drift bias model is established. And the parameters of the navigation filter are optimised based on this model. Findings The experimental results show that the INS/CNS/DNS/XNAV deep integrated navigation can suppress the drift of the accelerometer to a certain extent to improve the precision of position and velocity determination. In addition, this integrated navigation method can reduce the required accuracy of inertial navigation, thereby reducing the cost of missile manufacturing and realising low-cost and high-precision navigation. Originality/value The velocity information provided by the DNS can suppress the pulsar TOA drift, thereby improving the positioning accuracy of the XNAV. This reflects the “deep” integration of these two navigation methods.

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Section: Deep Integrated Navigation Systemmentioning

confidence: 99%

INS/CNS/DNS/XNAV deep integrated navigation in a highly dynamic environment

Liu

Wang

et al. 2022

AEAT

Self Cite

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“…Celestial navigation is a suitable autonomous navigation method for deep space exploration [4,5]. Commonly used celestial navigation measurements include star angle [6,7], pulsar time of arrival (TOA) [8,9], and Doppler velocity [10,11]. Solar oscillation time delay is an innovative celestial navigation measurement [12,13].…”

Section: Introductionmentioning

confidence: 99%

Parameter-Independent Event-Triggered Implicit UKF for the Celestial Navigation Using Time Delay Measurement

Gui

Wei

et al. 2023

Mathematics

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Celestial navigation using time delay measurement is an innovative autonomous navigation method. To calculate the equivalent measurement, the numerical method needs to be applied, which is time-consuming. The event-triggered mechanism intermittently and aperiodically processes measurements by judging if the update error has changed drastically. However, its performance is greatly affected by the constant threshold. To solve this problem, a parameter-independent event-triggered implicit unscented Kalman filter (UKF) is proposed and applied to the celestial navigation using time delay measurement. The innovation at the current moment and the updated estimate covariance at the last moment are compared with the previous value instead of the constant threshold. The event is automatically triggered when the accuracy of the state estimate is low. Simulation results indicate that the proposed parameter-independent event-triggered implicit UKF can reduce the running time by reducing unnecessary measurement updates, whose performance will not be affected by any parameter or window size. In a word, the proposed method substitutes the dynamic threshold for the constant threshold, ensuring that its performance will not be affected by any parameter or window size.

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“…Using the starlight Doppler measurement, the effect of orbital motion is roughly removed. In addition, Liu et al proposed a deeply integrated navigation method that utilizes direction, velocity, and distance measurements [29]. This navigation method uses direction and velocity measurements to remove the effect of orbital motion.…”

Section: Introductionmentioning

confidence: 99%

Stellar Angle-Aided Pulse Phase Estimation and Its Navigation Application

Wang

Zheng

et al. 2021

Aerospace

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X-ray pulsar-based navigation (XNAV) is a promising autonomous navigation method, and the pulse phase is the basic measurement of XNAV. However, the current methods for estimating the pulse phase for orbiting spacecraft have a high computational cost. This paper proposes a stellar angle measurement-aided pulse phase estimation method for high Earth orbit (HEO) spacecraft, with the aim of reducing the computational cost of pulse phase estimation in XNAV. In this pulse phase estimation method, the effect caused by the orbital motion of the spacecraft is roughly removed by stellar angle measurement. Furthermore, a deeply integrated navigation method using the X-ray pulsar and the stellar angle is proposed. The performances of the stellar angle measurement-aided pulse phase estimation method and the integrated navigation method were verified by simulation. The simulation results show that the proposed pulse phase estimation method can handle the signals of millisecond pulsars and achieve pulse phase estimation with lower computational cost than the current methods. In addition, for HEO spacecraft, the position error of the proposed integrated navigation method is lower than that of the stellar angle navigation method.

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Direction/Distance/Velocity Measurements Deeply Integrated Navigation for Venus Capture Period

Cited by 8 publications

References 23 publications

INS/CNS/DNS/XNAV deep integrated navigation in a highly dynamic environment

INS/CNS/DNS/XNAV deep integrated navigation in a highly dynamic environment

Parameter-Independent Event-Triggered Implicit UKF for the Celestial Navigation Using Time Delay Measurement

Stellar Angle-Aided Pulse Phase Estimation and Its Navigation Application

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