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Fast Two-dimensional Positioning Method of Crab Pulsar Based on Multiple Optimization Algorithms

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In the two-dimensional positioning method of pulsars,the grid method is used to provide non-sensitive direction and positional estimates.However,the grid method has a high computational load and low accuracy due to the interval of the grid.To improve estimation accuracy and reduce the computational load,we propose a fast two-dimensional positioning method for the crab pulsar based on multiple optimization algorithms(FTPCO).The FTPCO uses the Levenberg-Marquardt(LM)algorithm,three-point orientation(TPO)method,particle swarm optimization(PSO)and Newton-Raphson-based optimizer(NRBO)to substitute the grid method.First,to avoid the influence of the non-sensitive direction on positioning,we take an orbital error and the distortion of the pulsar profile as optimization objectives and combine the grid method with the LM algorithm or PSO to search for the non-sensitive direction.Then,on the sensitive plane perpendicular to the non-sensitive direction,the TPO method is proposed to fast search the sensitive direction and sub-sensitive direction.Finally,the NRBO is employed on the sensitive and sub-sensitive directions to achieve two-dimensional positioning of the Crab pulsar.The simulation results show that the computational load of the FTPCO is reduced by 89.4%and the positioning accuracy of the FTPCO is improved by approximately 38%compared with the grid method.The FTPCO has the advantage of high real-time accuracy and does not fall into the local optimum.

(stars:)pulsarsindividual(Crab pulsar)-space vehicles-methodsdata analysis-astrometry

Jianfeng Chen、Jin Liu、Xin Ma、Xiaolin Ning

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College of Information Science and Engineering,Wuhan University of Science and Technology,Wuhan 430081,China

School of Instrumentation Science and Opto-electronics Engineering,Beihang University,Beijing 100191,China

Hefei National Laboratory,Hefei 230088,China

National Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaInnovation Program for Quantum Science and Technology

61873196623730302021ZD0303400

2024

10.1088/1674-4527/ad76ec

天文和天体物理学研究
中国科学院国家天文台

天文和天体物理学研究

CSTPCD
影响因子：0.406
ISSN：1674-4527
年,卷(期)：2024.24(10)