Top

Wireless Personal Communications

Published in:

08-06-2020

Nonlinear Acoustic Echo Canceller to Combat Sigmoid-Type Nonlinearities Under Noisy Environment

Authors: Amit Kumar Kohli, Jashu Sharma

Published in: Wireless Personal Communications | Issue 4/2020

Activate our intelligent search to find suitable subject content or patents.

search-config

AI-assisted search

Off

Abstract

This paper presents a nonlinear-acoustic-echo-cancellation (NAEC) technique to tackle sigmoid-type nonlinearities under noisy environment. The nonlinear echo in acoustic systems is inevitable due to the inherent nonlinear characteristics of amplifiers and/or loudspeakers, which deteriorates the quality of speech as well as audio signal reception. Here, the sigmoid-type nonlinearity is modelled by incorporating two control parameters, which determine the shaping- and clipping-parameter values of the saturation curve at a particular room temperature. These control parameters are adjusted by utilizing the variable-step-size (VSS) least-mean-square (LMS) algorithm to enhance the convergence rate and tracking capability of presented NAEC. Furthermore, the impulse response of a room (indoor channel) in the acoustic echo path is modelled as a tap-delay-line finite-impulse-response filter, whose tap-coefficients are estimated by utilizing a modified recursive-least-squares (RLS) algorithm (involving the noise statistics) at the different values of signal-to-noise-ratio (SNR), when correlated as well as uncorrelated input signals are processed. Simulation results demonstrate the efficiency and efficacy of above mentioned adaptive NAEC technique using the VSS-LMS and modified RLS algorithms in terms of the high convergence rate as well as high value of echo-return-loss-enhancement (ERLE) factor. Both the elevating value of shaping-parameter (i.e., increasing nonlinearity level) and the alleviating value of SNR adversely affect the performance of all NAECs. However, the VSS-LMS and modified RLS algorithm based presented adaptive NAEC outperforms the traditional VSS-LMS and normalized-least-mean-square (NLMS) algorithm based NAEC under similar conditions.

previous article Joint Routing and Resource Allocation for Cluster Based Isolated Nodes in Cognitive Radio Wireless Sensor Networks

next article Fault Administration by Load Balancing in Distributed SDN Controller: A Review

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Nollett, B.S., & Jones D.L. (1997). Nonlinear echo cancellation for hands-free speakerphones. In Proc. IEEE Workshop Nonlinear Signal Image Process. (NSIP), Mackinac Island, MI (pp. 1–5).

Fu, J., & Zhu, W.-P. (2008). A nonlinear acoustic echo canceller using sigmoid transform in conjunction with RLS algorithm. IEEE Transactions on Circuits and Systems II: Express Briefs, 55(10), 1056–1060.CrossRef

Ahgren, P. (2005). Acoustic echo cancellation and doubletalk detection using estimated loudspeaker impulse. IEEE Transactions on Speech and Audio Processing, 13(6), 1231–1237.CrossRef

Costa, J.-P., Lagrange, A., Arliaud, A. (2003). Acoustic echo cancellation using nonlinear cascade filters. In Proc. ICASSP, vol. 5, Hong Kong, China (pp. 389–392).

Guerin, A., Faucon, G., & Bouquin-Jeannes, R. L. (2003). Nonlinear acoustic echo cancellation based on Volterra filters. IEEE Transactions on Speech and Audio Processing, 11(6), 672–683.CrossRef

Kuech, F., & Kellermann, W. (2004). Partitioned block frequency-domain adaptive second-order Volterra filter. IEEE Transactions on Signal Processing, 53(2), 564–575.MathSciNetMATHCrossRef

Kuech, F., Mitnacht, A., Kellermann, W. (2005). Nonlinear acoustic echo cancellation using adaptive orthogonalized power filters. In Proc. IEEE ICASSP, vol. 3, Philadelphia, PA (pp. 105–108).

Panicker, T. M., & Mathews, V. J. (1998). Parallel-cascade realizations and approximations of truncated Volterra systems. IEEE Transactions on Signal Processing, 46(10), 2829–2832.CrossRef

Sentoni, G., & Altenberg, A. (2005). Nonlinear acoustic echo canceller with DABNET + FIR structure. In Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, NY, USA (pp. 37–40).

10.

Stenger, A., Trautmann, L., Rabenstein, R. (1999). Nonlinear acoustic echo cancellation with 2nd order adaptive Volterra filters. In Proc. IEEE ICASSP, vol. 2, Phoenix, USA (pp. 877–880).

11.

Stenger, A., & Rabenstein, R. (1999). Adaptation of acoustic echo cancellers incorporation a memoryless nonlinearity. In Proc. IEEE IWAENC, Pocono Manor, PA (pp. 168 – 171).

12.

Stenger, A., & Kellermann, W. (2000). Nonlinear acoustic echo cancellation with fast converging memoryless pre-processor. In Proc. International Conference on Acoustics, Speech, and Signal Processing. (ICASSP), vol. 2, Istanbul, Turkey (pp. II805–II808).

13.

Comminiello, D., Scarpiniti, M., Azpicueta-Ruiz, L. A., Garcia, J. A., & Uncini, A. (2013). Functional link adaptive filters for nonlinear acoustic echo cancellation. IEEE Transactions on Audio, Speech and Language Processing, 21(7), 1502–1512.CrossRef

14.

Vaerenbergh, S.V., & Azpicueta-Ruiz, L.A. (2014). Kernel-based identification of Hammerstein systems for nonlinear acoustic echo cancellation. In Proc. IEEE ICASSP, vol. 1, Florence, Italy (pp. 3739–3743).

15.

Rai, A., & Kohli, A. K. (2015). Volterra filtering scheme using generalized variable step-size NLMS algorithm for nonlinear acoustic echo cancellation. Acta Acustica United with Acustica, 101(4), 821–828.CrossRef

16.

Rai, A., & Kohli, A. K. (2014). Adaptive polynomial filtering using generalized variable step-size pth power (LMP) algorithm. Circuits, Systems and Signal Processing, 33(12), 3931–3947.CrossRef

17.

Hamidia, M., & Amrouche A. (2019). Improving acoustic echo cancellation in hands-free communication systems. In Proc. ISPA, vol. 1, Mostaganem, Algeria (pp. 1–5).

18.

Dai, H., & Zhu, W.-P. (2006). Compensation of loudspeaker nonlinearity in acoustic echo cancellation using raised-cosine function. IEEE Transactions on Circuits and Systems II: Express Briefs, 53(11), 1190–1194.CrossRef

19.

Breining, C., Dreiscitel, P., Hansler, E., Mader, A., Nitsch, B., Puder, H., et al. (1999). Acoustic echo control: an application of very-high-order adaptive filters. IEEE Signal Processing Magazine, 16(4), 42–69.CrossRef

20.

Paleologu, C., Ciochina, S., & Benesty, J. (2008). Variable step-size NLMS algorithm for under-modeling acoustic echo cancellation. IEEE Signal Processing Letters, 15, 5–8.CrossRef

21.

Kohli, A. K., & Mehra, D. K. (2006). Tracking of time-varying channels using two-step LMS-type adaptive algorithm. IEEE Transactions on Signal Processing, 54(7), 2606–2615.MATHCrossRef

22.

Garg, H. K., & Kohli, A. K. (2017). Excision of ocular artifacts from EEG using NVFF-RLS adaptive algorithm. Circuits, Systems and Signal Processing, 36(1), 404–419.MATHCrossRef

23.

Diniz, P. S. R. (2002). Adaptive filtering (2nd ed.). Norwell: Kluwer.MATH

24.

Lee, K., Baek, Y., & Park, Y. (2015). Nonlinear acoustic echo cancellation using a nonlinear postprocessor with a linearly constrained affine projection algorithm. IEEE Transactions on Circuits and Systems II: Express Briefs, 62(9), 881–885.CrossRef

25.

Kuhn, E. V., Kolodziej, J. E., & Seara, R. (2014). Stochastic modeling of the NLMS algorithm for complex Gaussian input data and nonstationary environment. Digital Signal Processing, 30, 55–66.MathSciNetCrossRef

26.

Elko, G.W., Diethorn, E., Gansler, T. (2003). Room impulse response variation due to thermal fluctuation and its impact on acoustic echo cancellation. In Proc. IEEE IWAENC, Kyoto, Japan (pp. 67–70).

27.

Haykin, S. (1999). Neural networks (2nd ed.). Prentice-Hall: Pearson Education.MATH

28.

Aboulnasr, T., & Mayyas, K. (1997). A robust variable step-size LMS-type algorithm: analysis and simulations. IEEE Transactions on Signal Processing, 45(3), 631–639.CrossRef

29.

Haykin, S. (1996). Adaptive filter theory (3rd ed.). Prentice-Hall: Englewood Cliffs.MATH

30.

Kwong, R. H., & Johnston, E. W. (1992). A variable step size LMS algorithm. IEEE Transactions on Signal Processing, 40(7), 1633–1642.MATHCrossRef

31.

Kohli, A. K., Rai, A., & Patel, M. K. (2011). Variable forgetting factor LS algorithm for polynomial channel model. ISRN Signal Processing, 915259, 1–4.MATHCrossRef

32.

Kohli, A. K., & Rai, A. (2013). Numeric variable forgetting factor RLS algorithm for second-order Volterra filtering. Circuits, System and Signal Processing, 32(1), 223–232.MathSciNetCrossRef

33.

Zhang, H., Tan, K., Wang, D. (2019). Deep learning for joint acoustic echo and noise cancellation with nonlinear distortions. In Proc. INTERSPEECH, vol. 1, Graz, Austria (pp. 15–19).

34.

Widrow, B., McCool, J. M., Larimore, M. G., & Johnson, C. R. (1976). Stationary and nonstationary learning characteristics of LMS adaptive filter. Proceedings of the IEEE, 64(8), 1151–1162.MathSciNetCrossRef

35.

Song, S., Lim, J. S., Baek, S. J., & Sung, K. M. (2002). Variable forgetting factor linear least squares algorithm for frequency selective fading channel estimation. IEEE Transactions on Vehicular Technology, 51(3), 613–616.CrossRef

36.

Sunitha, T., & Malar, R. S. M. (2018). Nonlinear acoustic echo cancellation based on multichannel adaptive filters: a novel approach. Wireless Personal Communications, 102(4), 3269–3284.CrossRef

37.

Papoulis, A. (1991). Probability random variables and stochastic processes (3rd ed.). New York: McGraw-Hill.MATH

38.

Kapoor, D. S., & Kohli, A. K. (2015). Simulation of basis expansion model for channel fading using AR1 process. Wireless Personal Communications, 85(3), 791–798.CrossRef

39.

Singh, S., & Kohli, A. K. (2014). Wireless fading paradigm for antenna array receiver for a disk-type cluster of scatterers. Circuits, Systems and Signal Processing, 33(4), 1231–1244.CrossRef

40.

Sukhumalwong, S., & Benjangkaprasert, C. (2006). Adaptive echo cancellation using variable step-size algorithm lattice filters. In Proceeding of IEEE TENCON Region 10 Conference, Hong Kong, China (pp. 1–4).

41.

Kapoor, D. S., & Kohli, A. K. (2018). Channel estimation and long-range prediction of fast fading channels for adaptive OFDM system. International Journal of Electronics, 105(9), 1451–1466.CrossRef

42.

Halimeh, M. M., Huemmer, C., & Kellermann, W. (2019). A neural network-based nonlinear acoustic echo canceller. IEEE Signal Processing Letters, 26(12), 1827–1831.CrossRef

Title: Nonlinear Acoustic Echo Canceller to Combat Sigmoid-Type Nonlinearities Under Noisy Environment
Authors: Amit Kumar Kohli
Jashu Sharma
Publication date: 08-06-2020
Publisher: Springer US
Published in: Wireless Personal Communications / Issue 4/2020
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI: https://doi.org/10.1007/s11277-020-07544-3

Springer Professional

Abstract

Please log in to get access to your license.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Springer Professional "Wirtschaft+Technik"

Springer Professional "Wirtschaft"

Other articles of this Issue 4/2020

Design of Programmer’s Skill Evaluation Metrics for Effective Team Selection

Energy Efficient Routing Technique for Wireless Sensor Networks Using Ant-Colony Optimization

Compact Meandered Folded-Dipole RFID Tag Antenna for Dual Band Operation in UHF Range

Mutual Coupling Reduction in a Multi-band MIMO Antenna Using Meta-Inspired Decoupling Network

A Quad Band Metamaterial Miniaturized Antenna for Wireless Applications with Gain Enhancement

Double Stage Gaussian Filter for Better Underwater Image Enhancement