Title :
Simultaneous channel estimation and joint time-frequency domain crosstalk cancellation in multichannel personal audio systems
Author :
Tataria, Harshad ; Teal, Paul D. ; Poletti, Mark A. ; Betlehem, Terence
Author_Institution :
Sch. of Eng. & Comput. Sci., Victoria Univ. of Wellington, Wellington, New Zealand
fDate :
June 29 2014-July 2 2014
Abstract :
In this paper, we present two important contributions. The first is demonstration of the use of subliminal levels of pseudo-random noise to enhance channel estimation, and the second is a joint time and frequency domain algorithm for multichannel inversion. An adaptive system is presented where the acoustic channel is accurately estimated and utilized. In this implementation, maximum length sequences in the form of pseudo-random noise are superimposed on the source signals to aid the estimation quality of the acoustic channels. Upon estimation, crosstalk cancellation filters are designed using a time and frequency domain technique which uses a window to achieve more efficient and effective cancellation of crosstalk. For a 3×2 crosstalk system, the presented results show the improvement in channel estimation quality when low levels of maximum length sequences are superimposed on the source signals. On average -25dB of crosstalk cancellation is achieved.
Keywords :
audio systems; channel estimation; crosstalk; interference suppression; time-frequency analysis; acoustic channel estimation quality; acoustic channel utilization; adaptive system; channel estimation enhancement; crosstalk cancellation filters; joint time-frequency domain algorithm; maximum length sequence; multichannel inversion; multichannel personal audio systems; pseudorandom noise subliminal levels; simultaneous channel estimation; source signals; Acoustics; Channel estimation; Conferences; Crosstalk; Frequency-domain analysis; Loudspeakers; Microphones; Multichannel; channel impulse response; crosstalk cancellation; maximum length sequences; simultaneous channel estimation;
Conference_Titel :
Statistical Signal Processing (SSP), 2014 IEEE Workshop on
Conference_Location :
Gold Coast, VIC
DOI :
10.1109/SSP.2014.6884682