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
  • [21] OFDM Channel Estimation using Novel LMS Adaptive Algorithm
    Krishna, E. Hari
    Sivani, K.
    Reddy, K. Ashoka
    2017 INTERNATIONAL CONFERENCE ON COMPUTER, COMMUNICATION AND SIGNAL PROCESSING (ICCCSP), 2017, : 220 - 224
  • [22] Adaptive system identification using robust LMS/F algorithm
    Gui, Guan
    Peng, Wei
    Adachi, Fumiyuki
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2014, 27 (11) : 2956 - 2963
  • [23] IMAGE COMPRESSION RESULTS USING THE LMS ADAPTIVE ALGORITHM.
    Alexander, S.T.
    Rajala, S.A.
    IEEE Transactions on Acoustics, Speech, and Signal Processing, 1985, ASSP-33 (03): : 712 - 714
  • [24] An Efficient Architecture for the Adaptive Filter Using Delayed LMS Algorithm
    Priya, P.
    Babu, P.
    2014 INTERNATIONAL CONFERENCE ON INFORMATION COMMUNICATION AND EMBEDDED SYSTEMS (ICICES), 2014,
  • [25] A novel positioning method for magnetic spiral-type capsule endoscope using an adaptive LMS algorithm
    Ye, Bo
    Fang, Guo
    Hu, Jinping
    Wang, Hao
    Fu, Yingbing
    Zhang, Shicong
    Dwivedi, Amit Krishna
    JOURNAL OF MAGNETISM AND MAGNETIC MATERIALS, 2022, 563
  • [26] Dynamic Adaptive Ant System: A reinforcement ant algorithm using LMS algorithm
    Paul, Abhishek
    Mukhopadhyay, Sumitra
    2012 NATIONAL CONFERENCE ON COMPUTING AND COMMUNICATION SYSTEMS (NCCCS), 2012, : 261 - 265
  • [27] A variable leaky LMS adaptive algorithm
    Kamenetsky, M
    Widrow, B
    CONFERENCE RECORD OF THE THIRTY-EIGHTH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS & COMPUTERS, VOLS 1 AND 2, 2004, : 125 - 128
  • [28] IMPROVED LMS ALGORITHM FOR ADAPTIVE BEAMFORMING
    GODARA, LC
    IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 1990, 38 (10) : 1631 - 1635
  • [29] INTERFERENCE SUPRESSION IN TELEVISION SIGNALS USING AN LMS ADAPTIVE ARRAY ANTENNA.
    Ogawa, Yasutaka
    Tokuda, Satoshi
    Sasaki, Masami
    Ohmiya, Manabu
    Itoh, Kiyohiko
    Terebijon Gakkaishi/Journal of the Institute of Television Engineers of Japan, 1985, 39 (06): : 503 - 508
  • [30] Application of adaptive LMS algorithm and correlation in signal detection for GMI magnetic sensor
    Pan, Zhongming
    Ding, Hao
    Chen, Min
    Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology, 2013, 35 (01): : 142 - 146