Magnetic Interference Compensation Using the Adaptive LMS Algorithm

被引:3
|
作者
Ponikvar, Dusan [1 ,2 ]
Zupanic, Erik [2 ,3 ]
Jeglic, Peter [2 ]
机构
[1] Univ Ljubljana, Fac Math & Phys, Jadranska 19, SI-1000 Ljubljana, Slovenia
[2] Jozef Stefan Inst, Jamova 39, SI-1000 Ljubljana, Slovenia
[3] Univ Ljubljana, Fac Nat Sci & Engn, Askerceva cesta 12, SI-1000 Ljubljana, Slovenia
关键词
active magnetic interference compensation; adaptive least-mean-square algorithm; magnetic field sensor; mains magnetic interference;
D O I
10.3390/electronics12112360
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The aim of this study is to evaluate the method for the compensation of magnetic field interference from the mains, which consists primarily of components with a frequency of 50 (60) Hz and its multiples. The setup compensates for the interfering field using three Helmholtz coils, magnetic field sensors, a digital processing unit, and power amplifiers. The processing unit implements an adaptive least-mean-square (LMS) algorithm to calculate the currents through coils that are necessary for compensation. The prototype fully compensates for interfering with the magnetic field at 50, 150, 250, and 350 Hz down to the noise level of the sensor arrangement within 20 s and reduces higher harmonics. The overall reduction in the rms value of the interfering field is better than 28 dB, and a significantly better reduction is achieved in the frequency range from 0 Hz to 400 Hz.
引用
收藏
页数:11
相关论文
共 50 条
  • [41] Adaptive Filter Design for ECG Noise Reduction using LMS Algorithm
    Sharma, Ishika
    Mehra, Rajesh
    Singh, Monika
    2015 4TH INTERNATIONAL CONFERENCE ON RELIABILITY, INFOCOM TECHNOLOGIES AND OPTIMIZATION (ICRITO) (TRENDS AND FUTURE DIRECTIONS), 2015,
  • [42] Analysis of adaptive filters using normalized signed regressor LMS algorithm
    Koike, S
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 1999, 47 (10) : 2710 - 2723
  • [43] Adaptive multiuser channel estimation using reduced Kalman/LMS algorithm
    Kohli, Amit Kumar
    Mehra, D. K.
    WIRELESS PERSONAL COMMUNICATIONS, 2008, 46 (04) : 507 - 521
  • [44] Adaptive Noise Cancellation Using LMS Algorithm in Monte Carlo Simulation
    Pitchaiah, T.
    Sridevi, P. V.
    Rao, S. Koteswara
    2015 2ND INTERNATIONAL CONFERENCE ON ELECTRONICS AND COMMUNICATION SYSTEMS (ICECS), 2015, : 368 - 372
  • [45] CORDIC realization of the transversal adaptive filter using a trigonometric LMS algorithm
    Chakraborty, M
    Dhar, AS
    Pervin, S
    2001 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS I-VI, PROCEEDINGS: VOL I: SPEECH PROCESSING 1; VOL II: SPEECH PROCESSING 2 IND TECHNOL TRACK DESIGN & IMPLEMENTATION OF SIGNAL PROCESSING SYSTEMS NEURALNETWORKS FOR SIGNAL PROCESSING; VOL III: IMAGE & MULTIDIMENSIONAL SIGNAL PROCESSING MULTIMEDIA SIGNAL PROCESSING - VOL IV: SIGNAL PROCESSING FOR COMMUNICATIONS; VOL V: SIGNAL PROCESSING EDUCATION SENSOR ARRAY & MULTICHANNEL SIGNAL PROCESSING AUDIO & ELECTROACOUSTICS; VOL VI: SIGNAL PROCESSING THEORY & METHODS STUDENT FORUM, 2001, : 1225 - 1228
  • [46] Adaptive Noise Canceller using LMS algorithm with codified error in a DSP
    Gerardo Avalos, J.
    Espinobarro, Daniel
    Velazquez, Jose
    Sanchez, Juan C.
    2009 52ND IEEE INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1 AND 2, 2009, : 657 - 662
  • [47] Adaptive Multiuser Channel Estimation using Reduced Kalman/LMS Algorithm
    Amit Kumar Kohli
    D. K. Mehra
    Wireless Personal Communications, 2008, 46 : 507 - 521
  • [48] Real-time vibration compensation for active magnetic bearing systems based on LMS algorithm
    Gao, Hui
    Xu, Long-Xiang
    Zhendong Gongcheng Xuebao/Journal of Vibration Engineering, 2009, 22 (06): : 583 - 588
  • [49] Analysis on the adaptive filter based on LMS algorithm
    Zhu, Zhen
    Gao, Xiang
    Cao, Leilei
    Pan, Daoyuan
    Cai, Yumeng
    Zhu, Yu
    OPTIK, 2016, 127 (11): : 4698 - 4704
  • [50] Improved LMS adaptive algorithm with varying stepsize
    朱贤阳
    李敬
    任朗
    汪文秉
    Chinese Science Bulletin, 1996, (18) : 1568 - 1571