Multi-Channel Differencing Adaptive Noise Cancellation Based on Kernel-based Normalized Least-Mean-Square Algorithm

被引：0
|
作者：
Huang, Jianguo [1 ]
Gao, Wei [1 ]
Richard, Cedric [2 ]
机构：
[1] Northwestern Polytech Univ, Coll Marine Engn, Xian 710072, Peoples R China
[2] Univ Nice, CNRS, IUF, Nice, France
来源：
OCEANS, 2012 - YEOSU | 2012年
基金：
中国国家自然科学基金;
关键词：
Adaptive noise cancellation (ANC); Kernel-based normalized least mean square (KNLMS); Multi-channel differencing;
D O I：
暂无
中图分类号：
U6 [水路运输]; P75 [海洋工程];
学科分类号：
0814 ; 081505 ; 0824 ; 082401 ;
摘要：
The performance of detection for weak signal of the sonar array is extremely attenuated by intricate noises. It is also difficulty how to acquire reference (or secondary) noise correlated with the primary noise. The multi-channel reference noises are obtained by differencing the accurately delayed outputs of array elements. Kernel-based normalized least mean square (KNLMS) algorithm is an efficient way used to online predict time series data with the advantages of simplicity and stability. This paper presents an algorithm that combines multi-channel differencing to obtain reference noise and KNLMS to adaptively cancel the unknown noise. The simulation results demonstrate that the performances of multi-channel differencing adaptive noise cancellation based on KNLMS are better than the conventional adaptive noise cancellation methods using the realistic lake experiment of sonar array noise data.
引用
收藏
页数：5
相关论文
共 50 条
  • [41] Performance analysis of the reception based on least-mean-square adaptive algorithm in optical wireless communication system
    Department of Optoelectronic Engineering, Huazhong Univ. of Sci. and Technol., Wuhan 430074, China
    Zhongguo Jiguang, 2006, 10 (1379-1383):
  • [42] Improved Adaptive Sparse Channel Estimation Based on the Least Mean Square Algorithm
    Gui, Guan
    Peng, Wei
    Adachi, Fumiyuki
    2013 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2013, : 3105 - 3109
  • [43] Adaptive Noise Cancellation with a Multirate Normalized Least Mean Squares Filter
    Ukte, Adem
    Kizilkaya, Aydin
    2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2015, : 1417 - 1420
  • [44] Robust Variable Step-Size Decorrelation Normalized Least-Mean-Square Algorithm and its Application to Acoustic Echo Cancellation
    Zhang, Sheng
    Zhang, Jiashu
    Han, Hongyu
    IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, 2016, 24 (12) : 2368 - 2376
  • [45] Transfer Learning in Adaptive Filters: The Nearest Instance Centroid-Estimation Kernel Least-Mean-Square Algorithm
    Li, Kan
    Principe, Jose C.
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2017, 65 (24) : 6520 - 6535
  • [46] Adaptive Filtering based on Least Mean Square Algorithm
    Sireesha, N.
    Chithra, K.
    Sudhakar, Tata
    2013 OCEAN ELECTRONICS (SYMPOL), 2013, : 42 - 48
  • [47] Stabilization of a Bias-Compensated Normalized Least-Mean-Square Algorithm for Noisy Inputs
    Jung, Sang Mok
    Park, PooGyeon
    IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2017, 65 (11) : 2949 - 2961
  • [48] Convergence vector of normalized least-mean-square algorithm for predicting deterministic sinusoidal signals
    Wakabayashi, Yuko
    Satomi, Yuki
    Kawamura, Arata
    Iiguni, Youji
    ACOUSTICAL SCIENCE AND TECHNOLOGY, 2012, 33 (04) : 270 - 272
  • [49] Implementation of Normalized Data Non Linearity and Constraint Stability Least Mean Square algorithm with a new SuFee model for Adaptive Noise Cancellation
    Nagal, Rachana
    Kumar, Pradeep
    Bansal, Poonam
    PROCEEDINGS OF THE 2018 3RD INTERNATIONAL CONFERENCE ON INVENTIVE COMPUTATION TECHNOLOGIES (ICICT 2018), 2018, : 204 - 210
  • [50] Least-Mean-Square Algorithm Based Adaptive Filters for Removing Power Line Interference from ECG Signal
    Maniruzzaman, Md.
    Billah, Kazi Md. Shimul
    Biswas, Uzzal
    Gain, Bablu
    2012 INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION (ICIEV), 2012, : 737 - 740
12345