Systems Engineering and Electronics ›› 2022, Vol. 44 ›› Issue (10): 3221-3227.doi: 10.12305/j.issn.1001-506X.2022.10.27

• Guidance, Navigation and Control • Previous Articles     Next Articles

Analysis of blocking effects of electromagnetic radiation noise on navigation receiver

Mei LI1,2, Guanghui WEI1,*, Hongze ZHAO1, Jianyong ZHENG1, Xue DU1   

  1. 1. National Key Laboratory on Electromagnetic Environment Effects, Army Engineering University Shijiazhuang Campus, Shijiazhuang 050003, China
    2. School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang 050018, China
  • Received:2021-06-07 Online:2022-09-20 Published:2022-10-24
  • Contact: Guanghui WEI

Abstract:

Aiming at the phenomenon that the satellite navigation system loses its positioning caused by electromagnetic radiation, an effect evaluation model of electromagnetic radiation noise based on interference mechanism analysis is established. The effect experiment and the analytical evaluation on the navigation receiver are performed. In order to solve the problem that the sensitivity data of the navigation receiver is difficult to be accurately measured due to weak working signals in the environment to be evaluated, two-point calibration is carried out on sensitivity data by using the working frequency point and a relatively stable frequency point of out-of-band. The effects index of both random noise and single-frequency compound noise is greater than 1 after calibration. The maximum error is 1. 8 dB, which is conformed to the theoretical analysis of the effects evaluation model and is consistent with the experimental phenomenon. The results show that the proposed effect evaluation model of electromagnetic radiation noise can be used for in-band and out-of-band noise interference effects evaluation simultaneously, while the proposed two-point calibration method is of great significance to improve the effects evaluation accuracy of tested equipment with weak working signals.

Key words: navigation receiver, electromagnetic radiation, noise interference, calibration, effects evaluation

CLC Number: 

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