Systems Engineering and Electronics ›› 2021, Vol. 43 ›› Issue (5): 1346-1353.doi: 10.12305/j.issn.1001-506X.2021.05.23

• Guidance, Navigation and Control • Previous Articles     Next Articles

Robust filtering algorithm based on three discriminant domain and least squares fitting

Baojie CAI*(), Lei SHAO()   

  1. Air and Missile Defence College, Air Force Engineering University, Xi'an 710051, China
  • Received:2020-07-13 Online:2021-05-01 Published:2021-04-27
  • Contact: Baojie CAI E-mail:18332729660@163.com;shaolei_zj@163.com

Abstract:

The satellite signal of integrated navigation system is susceptible to interference during the propagation process, which causes the satellite navigation observation value to fail. For this problem, according to the distribution state of the detection quantity, a robust filtering algorithm based on the principle of least squares fitting ia proposed, and the fault is divided into three discriminant domains, which are respectively no fault, deviation and out of tolerance. No processing is performed when there is no fault. When there is a deviation, the observation value is reduced in weight. For out of tolerance, a fitting function composed of the measured values at the previous few moments is used to extend a moment, instead of the fault observation value at the current moment. The simulation results show that the three discriminant domain has more processing for deviation than the two discriminant domain, and the navigation accuracy is improved. When an out of tolerance situation occurs in a continuous time, compared to the use of the reduced weight method, the robust filtering algorithm based on the least square fitting has higher navigation accuracy and better stability.

Key words: integrated navigation, Kalman filtering, chi-square test, least square fitting

CLC Number: 

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