LIU Jin, WU Jin, XIONG Ling, FANG Jiancheng, LIU Gang. Fast Position and Velocity Determination for Pulsar Navigation Using NML and LSM[J]. Chinese Journal of Electronics, 2017, 26(6): 1325-1329. doi: 10.1049/cje.2017.09.005
Citation: LIU Jin, WU Jin, XIONG Ling, FANG Jiancheng, LIU Gang. Fast Position and Velocity Determination for Pulsar Navigation Using NML and LSM[J]. Chinese Journal of Electronics, 2017, 26(6): 1325-1329. doi: 10.1049/cje.2017.09.005

Fast Position and Velocity Determination for Pulsar Navigation Using NML and LSM

doi: 10.1049/cje.2017.09.005
Funds:  This work is supported by the National Natural Science Foundation of China (No.61501336, No.61104191), the State Key Program of National Natural Science Foundation of China (No.61233005), and the National Basic Research Program of China (No.2014CB744202).
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  • Corresponding author: WU Jin (corresponding author) was born in Wuhu, China, in 1967. She received the Ph.D. degree in pattern recognition and intelligent system from Huazhong University of Science and Technology in 2006.(Email:471854385@qq.com)
  • Received Date: 2014-05-07
  • Rev Recd Date: 2015-01-15
  • Publish Date: 2017-11-10
  • To reduce the computational cost, a Fast position and velocity joint determination (FPVD) method based on the Near-maximum likelihood (NML) and the Least square method (LSM) is proposed for X-ray pulsar navigation. Considering the fact that the Doppler effects caused by the velocity of the spacecraft alters the X-ray pulse Time-of-arrival (TOA), we adopt the NML to obtain multi-TOAs, and then utilize the LSM to estimate the variation of TOAs instead of the pulsar profile distortion adopted by the Maximum-likelihood (ML) estimation method. Finally, according to the variation value and TOAs, the position and velocity information of the spacecraft are calculated. The simulation results have demonstrated that the FPVD method is far faster than the ML estimation method, and its accuracy approaches the CramerRao lower bound (CRLB).
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