A constrained optimization approach for multi-zone surround sound

A recent approach to surround sound is to perform exact control of the sound field over a region of space. Here, the driving signals for an array of loudspeakers are chosen to create a desired sound field over an extended area. An interesting subtopic is multi-zone surround sound, where two or more listeners can experience totally independent sound fields. However, multi-zone surround sound is a challenge because implementation can be very non-robust. We formulate multi-zone sound reproduction as a convex optimization problem, where the sound energy leakage into other listener zones is limited to fixed levels, and a constraint is placed on the loudspeaker weights to improve the robustness. An interior point algorithm is devised for computing the loudspeaker weights, and its performance is compared with least squares approaches of multi-zone reproduction in typical two-zone cases.

[1]  Sanjay Mehrotra,et al.  On the Implementation of a Primal-Dual Interior Point Method , 1992, SIAM J. Optim..

[2]  Thushara D. Abhayapala,et al.  Multizone 2D soundfield reproduction via spatial band stop filters , 2009, 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics.

[3]  Mark A. Poletti,et al.  An Investigation of 2-D Multizone Surround Sound Systems , 2008 .

[4]  Thushara D. Abhayapala,et al.  Spatial multizone soundfield reproduction , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[5]  M. Melamed Detection , 2021, SETI: Astronomy as a Contact Sport.

[6]  Yang-Hann Kim,et al.  Generation of Independent Bright Zones for a Two-Channel Private Audio System , 2010 .

[7]  Henry Cox,et al.  Practical supergain , 1986, IEEE Trans. Acoust. Speech Signal Process..

[8]  Yan Jennifer Wu,et al.  Multizone soundfield reproduction using multiple loud-speaker arrays , 2010 .

[9]  Mark A. Poletti,et al.  An algorithm for power constrained holographic reproduction of sound , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

[10]  R. Vanderbei LOQO:an interior point code for quadratic programming , 1999 .