Tightly coupled INS/CNS/spectral redshift integrated navigation system with the aid of redshift error measurement

The integration of an inertial navigation system (INS) and a celestial navigation system (CNS) has the superiority of high autonomy. However, its reliability and accuracy are permanently impaired under poor observation conditions. To address this issue, the present paper proposes a tightly coupled INS/CNS/spectral redshift (SRS) integration framework based on the spectral redshift error measurement. In the proposed method, a spectral redshift error measurement equation is investigated and embedded in the traditional tightly coupled INS/CNS integrated navigation system to achieve better anti-interference under complicated circumstances. Subsequently, the inaccurate redshift estimation from the low signal-to-noise ratio spectrum is considered in the integrated system, and an improved chi-square test-based covariance estimation method is incorporated in the federated Kalman filter, allowing to deal with measurement outliers caused by the inaccurate redshift estimation but not influencing the effect of other correct redshift measurements in suppressing the error of the navigation parameter on the filtering solution. Simulations and comprehensive analyses demonstrate that the proposed tightly coupled INS/CNS/SRS integrated navigation system can effectively handle outliers and outages under hostile observation conditions, resulting in improved performance.

Automated summary

This paper proposes a tightly coupled INS/CNS/SRS integration framework based on the spectral redshift error measurement, which can achieve better anti-interference ability and accuracy under complicated conditions. By incorporating an improved covariance estimation method into the federated Kalman filter, the system can handle measurement outliers caused by inaccurate redshift estimation without affecting the effect of other correct redshift measurements in suppressing the error of the navigation parameter on the filtering solution. Simulations and comprehensive analyses demonstrate the improved performance of the proposed integrated navigation system in handling outliers and outages under hostile observation conditions.