Active Noise Control Using Modified FsLMS and Hybrid PSOFF Algorithm

Active noise control is an efficient technique for noise cancellation of the system, which has been defined in this paper with the aid of Modified Filtered-s Least Mean Square (MFsLMS) algorithm. The Hybrid Particle Swarm Optimization and Firefly (HPSOFF) algorithm are used to identify the stability factor of the MFsLMS algorithm. The computational difficulty of the modified algorithm is reduced when compared with the original Filtered-s Least Mean Square (FsLMS) algorithm. The noise sources are removed from the signal and it is compared with the existing FsLMS algorithm. The performance of the system is established with the normalized mean square error for two different types of noises. The proposed method has also been compared with the existing algorithms for the same purposes.

[1]  Xiaojin Zhu,et al.  Analysis and implementation of improved multi‐input multi‐output filtered‐X least mean square algorithm for active structural vibration control , 2013 .

[2]  Ganapati Panda,et al.  Particle swarm optimization based nonlinear active noise control under saturation nonlinearity , 2016, Appl. Soft Comput..

[3]  Ganapati Panda,et al.  A Particle-Swarm-Optimization-Based Decentralized Nonlinear Active Noise Control System , 2012, IEEE Transactions on Instrumentation and Measurement.

[4]  Aurobinda Routray,et al.  Filtered-s LMS algorithm for multichannel active control of nonlinear noise processes , 2006, IEEE Transactions on Audio, Speech, and Language Processing.

[5]  Alberto González,et al.  Convex Combination Filtered-X Algorithms for Active Noise Control Systems , 2013, IEEE Transactions on Audio, Speech, and Language Processing.

[6]  Woon-Seng Gan,et al.  Recent advances on active noise control: open issues and innovative applications , 2012, APSIPA Transactions on Signal and Information Processing.

[7]  Jinwei Sun,et al.  A Variable Step-Size FXLMS Algorithm for Narrowband Active Noise Control , 2013, IEEE Transactions on Audio, Speech, and Language Processing.

[8]  Giovanni L. Sicuranza,et al.  On the BIBO Stability Condition of Adaptive Recursive FLANN Filters With Application to Nonlinear Active Noise Control , 2012, IEEE Transactions on Audio, Speech, and Language Processing.

[9]  Robert W. Stewart,et al.  Adaptive IIR filtered-v algorithms for active noise control , 1997 .

[10]  Alberto González,et al.  Steady-State Mean Square Performance of the Multichannel Filtered-X Affine Projection Algorithm , 2012, IEEE Transactions on Signal Processing.

[11]  Woon-Seng Gan,et al.  Active noise control system for headphone applications , 2006, IEEE Transactions on Control Systems Technology.

[12]  Z. Qiu,et al.  A multi-resolution filtered-x LMS algorithm based on discrete wavelet transform for active noise control , 2016 .

[13]  Woon-Seng Gan,et al.  Applications of adaptive feedback active noise control system , 2003, IEEE Trans. Control. Syst. Technol..

[14]  Scott D. Snyder,et al.  Design considerations for active noise control systems implementing the multiple input, multiple output lms algorithm , 1992 .

[15]  Sandor M. Veres,et al.  Frequency selective feedback for active noise control , 2002 .

[16]  Giovanni L. Sicuranza,et al.  Accuracy and Performance Evaluation in the Genetic Optimization of Nonlinear Systems for Active Noise Control , 2007, IEEE Transactions on Instrumentation and Measurement.

[17]  Jonathan D. Blotter,et al.  Eigenvalue equalization filtered-x algorithm for the multichannel active noise control of stationary and nonstationary signals. , 2008, The Journal of the Acoustical Society of America.

[18]  Peng Wang,et al.  Enhancement of noise reduction efficiency based on compensation in the ANC headset using fixed-point DSP , 2017 .

[19]  Ganapati Panda,et al.  Active mitigation of nonlinear noise Processes using a novel filtered-s LMS algorithm , 2004, IEEE Transactions on Speech and Audio Processing.

[20]  Ganapati Panda,et al.  On the development of adaptive hybrid active noise control system for effective mitigation of nonlinear noise , 2012, Signal Process..

[21]  Ming Zhang,et al.  Cross-updated active noise control system with online secondary path modeling , 2001, IEEE Trans. Speech Audio Process..

[22]  Li Tan,et al.  Adaptive Volterra filters for active control of nonlinear noise processes , 2001, IEEE Trans. Signal Process..

[23]  Xin-She Yang,et al.  Firefly algorithm, stochastic test functions and design optimisation , 2010, Int. J. Bio Inspired Comput..

[24]  Colin H. Hansen,et al.  Current and future industrial applications of active noise control , 2005 .

[25]  Mingsian R. Bai,et al.  Application of feedforward adaptive active-noise control for reducing blade passing noise in centrifugal fans , 2001 .

[26]  Amrit Pal Singh,et al.  Comparative Study of Firefly Algorithm and Particle Swarm Optimization for Noisy Non- Linear Optimization Problems , 2012 .

[27]  Wei Ren,et al.  Convergence analysis of the multi-variable filtered-X LMS algorithm with application to active noise control , 1999, IEEE Trans. Signal Process..

[28]  Peng Li,et al.  Active noise cancellation algorithms for impulsive noise. , 2013, Mechanical systems and signal processing.

[29]  Martin Bouchard,et al.  Multichannel recursive-least-square algorithms and fast-transversal-filter algorithms for active noise control and sound reproduction systems , 2000, IEEE Trans. Speech Audio Process..

[30]  Scott C. Douglas,et al.  Active noise control for periodic disturbances , 2001, IEEE Trans. Control. Syst. Technol..

[31]  Ganapati Panda,et al.  Development of Frequency Domain Block Filtered-s LMS (FBFSLMS) Algorithm for Active Noise Control System , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[32]  Alberto Gonzalez,et al.  Sound quality of low-frequency and car engine noises after active noise control , 2003 .

[33]  Mahesh Chandra,et al.  A technical review on adaptive algorithms for acoustic echo cancellation , 2014, 2014 International Conference on Communication and Signal Processing.