吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (04): 1146-1152.doi: 10.7964/jdxbgxb201304048

• paper • Previous Articles    

Cycle slip detection for BeiDou satellite based on adaptive particle filtering

DAI Lian-jun1,2, TANG Tao1, CAI Bai-gen2   

  1. 1. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;
    2. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
  • Received:2012-06-04 Online:2013-07-01 Published:2013-07-01

Abstract:

Before determining the carrier-phase ambiguity resolution of BeiDou satellite in precision positioning, carrier-phase cycle slips need to be detected and repaired. Due to the influences of different errors, the carrier observation equation is nonlinear and non-Gaussian, so the method of linear filtering has its limitations to detect cycle slips. In this article, nonlinear and non-Gaussian adaptive particle filtering is employed to detect cycle slips. The detection model is built by observation equation based on analyzing BeiDou cycle slip detection principle and computation process. The proposed method can meet the demand of BeiDou cycle slip detection and precision positioning using measured data. Compared with Kalman filtering method, the adaptive particle filtering cycle slip detection model is characterized by simple initialization, high accuracy and fast convergent speed.

Key words: communication, BeiDou satellite, adaptive particle filtering(APF), Kalman filtering, cycle slips detection

CLC Number: 

  • TN911

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