Research On Efficient Pulsar Signal Processing Method Based On Intelligent Algorithm And Information Assistance

Pulsar navigation is a new spacecraft autonomous navigation technology,which can provide position,speed and timing information for spacecraft from near earth to deep space.Because the pulsar signal is very weak,the spacecraft needs signal processing after receiving the pulsar photons,so as to extract useful navigation information.In order to improve the efficiency of pulsar signal processing,an efficient pulsar signal processing method based on intelligent algorithm and information assistance is studied in this thesis.Specifically,the following research contents are included:1.In order to realize the rapid construction of pulsar template,the pulsar signal processing method based on Bayesian multi-intelligence optimization is studied.Firstly,the existing pulsar signal processing methods are introduced,and the limitations of the existing methods in the case of large photon quantity are analyzed;Secondly,combined with the characteristics of intelligent optimization algorithm and Bayesian optimization algorithm,the Bayesian multi-intelligent optimization algorithm is proposed;Finally,the proposed Bayesian multi-intelligent optimization algorithm is applied to pulsar period search.The calculation results show that the proposed algorithm can significantly improve the calculation efficiency with accuracy ensured,and has good adaptability to different periodic search methods.2.For on-orbit pulsar signal processing,the on-orbit pulse estimation method on CE-Adam algorithm is studied.Firstly,the pulsar dynamic signal processing method based on maximum likelihood estimation is introduced,and the characteristics of this method are analyzed;Secondly,combined with CE algorithm and Adam algorithm,the CE-Adam algorithm is proposed;Finally,the proposed CE-Adam algorithm is applied to on-orbit pulse estimation.The results show that the proposed algorithm can significantly improve the computational efficiency of on-orbit pulse estimation with accuracy ensured.3.The pulsar signal processing method assisted by multi-source information is studied.Firstly,for near earth spacecraft and deep space spacecraft in heliocentric cruise phase,pulsar dynamic signal processing methods assisted by starlight angular distance measurement information and solar information are proposed respectively;Secondly,according to the characteristics of starlight angular distance measurement information and solar information,the signal processing scheme and the corresponding pulse phase propagation model are proposed respectively;Finally,the pulsar signal processing method assisted by multi-source information is verified by simulation.The calculation results show that the pulsar signal processing method assisted by multi-source information can significantly improve the calculation efficiency.The research of this paper can provide theoretical and technical support for pulsar navigation into practical engineering application.