Application of IMMF–IHHT algorithm to suppressing random interference of geomagnetic sensors

EURASIP Journal on Advances in Signal Processing

Research

Xu-jun Su¹  Ping-an Zhang¹  Min Gao¹  Yi Wang¹  Wei Wang¹ 

[1] Shijiazhuang Campus of Army Engineering University, Shijiazhuang, China;

关键词: Geomagnetic sensor;    Improved morphological filtering (IMMF);    Improved Hilbert–Huang transform (IHHT);    Feature extraction and recognition;    Similarity criterion;   

DOI  :  10.1186/s13634-023-00985-5

 received in 2022-08-31, accepted in 2023-01-26,  发布年份 2023

来源: Springer

【 摘 要 】

Aiming at the problem that the geomagnetic sensor is vulnerable to external interference in the navigation process, this paper analyzes the frequency distribution range of geomagnetic signal and the noise characteristics in geomagnetic signal and proposes an improved morphological filtering and Hilbert–Huang transform (IMMF–IHHT) algorithm to extract and recognize the features of geomagnetic measurement signal. To avoid frequency aliasing and distortion caused by empirical mode decomposition, an improved morphological filtering algorithm based on mean constraint is used to preprocess the measured signal. The Hilbert spectrum of the decomposed signal is solved, the signal components are discriminated by the similarity criterion, and the signal components in line with the frequency range of the geomagnetic signal are extracted and processed to reconstruct the geomagnetic measurement signal. Simulation and experiments show that the signal-to-noise ratio and root-mean-square error of IMMF–IHHT combination algorithm are better than MF-HHT combination algorithm and IHHT algorithm. This algorithm has good signal feature extraction and recognition ability.

【 授权许可】

CC BY   
© The Author(s) 2023

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