Application of a new variable-step LMS algorithm in semi-airborne electromagnetic receiving system

Jiang Han; Zhang Yiming; Wang He; Wang Xuhong

doi:10.1117/12.2639448

27 June 2022 Application of a new variable-step LMS algorithm in semi-airborne electromagnetic receiving system

Jiang Han, Zhang Yiming, Wang He, Wang Xuhong

Proceedings Volume 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022); 122531H (2022) https://doi.org/10.1117/12.2639448
Event: Second International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 2022, Qingdao, China

Abstract

Since the Semi-Airborne frequency domain receiving system adopts uav carrying the receiving system to realize motion measurement in the air, the receiving system will inevitably introduce interference noise, including UAV motion noise, environmental noise and human noise, etc. In order to improve the signal-to-noise ratio, the adaptive noise elimination technology is used to cancel the noise. The step size of traditional filter is a fixed value. Although the convergence speed is guaranteed, the steady-state error after convergence fluctuates greatly. In this paper, a new mathematical model of step factor and error signal is proposed by transforming sine function and introducing variable parameter R factor. The algorithm is applied to the Semi-Airborne electromagnetic receiving system, and the collected data are filtered by the algorithm, and the expected experimental data are obtained.

Citation Download Citation

Jiang Han, Zhang Yiming, Wang He, and Wang Xuhong "Application of a new variable-step LMS algorithm in semi-airborne electromagnetic receiving system", Proc. SPIE 12253, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2022), 122531H (27 June 2022); https://doi.org/10.1117/12.2639448

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available