Compensation des non-linéarités des systèmes haut-parleurs à pavillon

The assumptions of linearity and autonomy assumed in circuit theory are known to be respected only partially by electroacoustic transducers. In particular, the dynamics range of the latter is limited by the audible nonlinear effects that they are causing. In the domain of active noise control, the distortion products limit noise reduction performance. The present thesis work stems from characterization of these observations. We want to design a real-time system compensating the nonlinearities of electroacoustic devices. The first part of this report concerns the nonlinearity effects. It is shown that the use of classical characterization methods of an electroacoustic device (harmonic distortion, intermodulation, frequency difference ...) is limited. Hence, they can not be used to determine the nonlinearity laws themselves, but rather only their effects for arbitrary excitations. First, a method based on multitone harmonic excitations has been proposed and validated. It has been applied for the characterization of loudspeaker prototypes using several different technologies, which are used for active noise reduction in an aircraft turboreactor. The second part of this work addresses the elaboration and validation of a nonlinearity effect compensation method. This method is based on the description of the nonlinearities by the Volterra series. For this, we need to place an upstream system, characterized by the inverse nonlinearity law of the loudspeaker system. After having determined precisely the Volterra kernels of the system to be characterized, the kernels of the upstream compensation system are determined by assuming that their cascade obeys to a linear law. For this purpose, a kernel measurement method in the frequency domain has been developed, validated and tested. Since we are concerned with loudspeakers, we took their flying time into account. The compensation method has been validated by computing the simulated response of the compensation circuit. Resulting analog signals have then been applied to the loudspeaker. Measured performances fulfill the expectations. In the last part, the compensation method has been applied in a real-time Digital Signal Processing) DSP controller, which allowed to realize a demonstrator to the implemented for future industrial applications.

[1]  M. Schetzen The Volterra and Wiener Theories of Nonlinear Systems , 1980 .

[2]  Leon O. Chua,et al.  Measuring Volterra kernels , 1983 .

[3]  U. Appel,et al.  Loudspeaker nonlinearities-analysis and compensation , 1992, [1992] Conference Record of the Twenty-Sixth Asilomar Conference on Signals, Systems & Computers.

[4]  Rudolf Rabenstein,et al.  Adaptive Volterra filters for nonlinear acoustic echo cancellation , 1999, NSIP.

[5]  Rudolf Rabenstein,et al.  Nonlinear acoustic echo cancellation with 2nd order adaptive Volterra filters , 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

[6]  Wolfgang Klippel,et al.  Dynamic Measurement and Interpretation of the Nonlinear Parameters of Electrodynamic Loudspeakers , 1990 .

[7]  René Boite,et al.  Théorie des réseaux de Kirchhoff , 1976 .

[8]  Cornelis H. Slump,et al.  Theoretical and Experimental Comparison of Three Methods for Compensation of Electrodynamic Transducer Nonlinearity , 1998 .

[9]  Philippe Robert,et al.  Matériaux de l'électrotechnique , 1979 .

[10]  Wolfgang Klippel,et al.  Nonlinear Large-Signal Behavior of Electrodynamic Loudspeakers at Low Frequencies , 1992 .

[11]  Yoshinobu Kajikawa,et al.  Adaptive Volterra filters using multirate signal processing and their application to identification of loudspeaker systems , 2003 .

[12]  Rulph Chassaing DSP Applications Using C and the TMS320C6x DSK , 2002 .

[13]  Wolfgang Klippel The Mirror Filter-A New Basis for Reducing Nonlinear Distortion and Equalizing Response in Woofer Systems , 1992 .

[14]  W. Frank Sampling requirements for Volterra system identification , 1996, IEEE Signal Processing Letters.

[15]  A. Kaizer Modeling of the nonlinear response of an electrodynamic loudspeaker by a Volterra series expansion , 1987 .

[16]  Richard C. Cabot,et al.  A Comparison of Nonlinear Distortion Measurement Methods , 1980 .

[17]  U. Appel,et al.  Realtime Loudspeaker Linearization , 1993, IEEE Winter Workshop on Nonlinear Digital Signal Processing.

[18]  Y. Kajikawa,et al.  An Elimination Method of the Nonlinear Distortion in Frequency Domain by the Volterra Filter , 1998 .

[19]  Leon O. Chua,et al.  Measuring volterra kernels III: How to estimate the highest significant order , 1991, Int. J. Circuit Theory Appl..

[20]  L. Chua,et al.  Measuring Volterra kernels (II) , 1989 .

[21]  Alexander Terekhov,et al.  Multitone Testing of Sound System Components'Some Results and Conclusions, Part 2: Modeling and Application , 2001 .

[22]  Stephen P. Boyd,et al.  Analytical Foundations of Volterra Series , 1984 .

[23]  Steven W. Smith,et al.  The Scientist and Engineer's Guide to Digital Signal Processing , 1997 .

[24]  Rulph Chassaing,et al.  Digital Signal Processing and Applications with the C6713 and C6416 DSK , 2004 .

[25]  I. Dowman Terrain Modelling in Surveying and Civil Engineering , 1991 .