Systems Engineering and Electronics ›› 2020, Vol. 42 ›› Issue (5): 1139-1145.doi: 10.3969/j.issn.1001-506X.2020.05.22

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Research on error estimation of micro-gyroscope and location method based on BPNN for vehicle during GNSS outages

Qiuying WANG(), Kaiyue LIU(), Juan YIN()   

  1. College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001, China
  • Received:2019-08-30 Online:2020-04-30 Published:2020-04-30
  • Supported by:
    国家自然科学基金(51879046);黑龙江省自然科学基金优秀青年项目(YQ2019F001)

Abstract:

In the global navigation satellite system (GNSS) outages phase, the micro-gyroscope inertial system is used as a standby positioning system. In order to solve the problem of positioning divergence error caused by micro-gyroscope error, the error estimation of the micro-gyroscope and location method based on back propagation neural network (BPNN) is proposed in this paper. In the GNSS effective phase, it provides positioning information for vehicles and estimates the micro-gyroscope error. A prediction model of micro-gyroscope error that is prepared for vehicle positioning in the GNSS outages phase is established by the BPNN. In the GNSS outages phase, the micro-gyroscope error prediction model is used to estimate the micro-gyroscope error and compensate the output information of the micro-gyroscope to suppress the positioning error caused by the gyroscope error. Finally, the correctness and effectiveness of this method is verified by simulation and experiment.

Key words: global navigation satellite system (GNSS) outages, micro-gyroscope inertial system, micro-gyroscope error, prediction

CLC Number: 

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