Design And Implementation Of Snoring System Based On Sound Source Location

Sound source localization technology is an important research content in modern technology. It plays an important role in the military, wireless communications and human-computer interaction system. This technology is through the array to pick up signal to do pretreatment, endpoint detection, filtering out noise and a series of operations for the signal data information, according to the sound source localization algorithm to obtain the position estimation of signal.In this paper, we study the anti-snore system which is based on sound source localization technology, due to the growing importance of health, we can put forward a safety without painful curative method, combining sound source localization technology and hardware, after determining the snore signals location information, use a control circuit, according to the different orientation of signal, it will inflate the gas pump, making the anti-snore pillow produces a slope, then people turn over, so as to achieve the goal of the anti-snore.This paper first introduces the related background of the sound source localization technology and speech signal basic theory, these are the important prerequisite for subsequent analysis of snore signal. Then introduce the subspace localization algorithm, the method of three kinds of localization algorithm in detail, classical MUSIC(Multiple Signal Classification) algorithm, and developed on the basis of this algorithm which is suitable for broadband signal positioning named ISM(Incoherent Signal- subspace Method) algorithm and the improved ISM algorithm. Due to the snore signal is a kind of wideband speech signal, using the ISM algorithm and the two improved ISM algorithms to make contrast experiment about position estimation result, not only the improved ISM algorithm computational complexity is smaller, saving the system overhead, but the experimental results show that the MISM algorithm can more accurately to estimate position for wideband speech signal. Finally, this paper introduce the basic theory which related hardware and implementation method of the anti-snore make the combination of software and hardware forming a complete system of the anti-snore.