AE signal extraction under the strong noise
According to the technology of using acoustic emission signal to extrapolate the acoustic emission source, the multiple signal classification algorithm based on far-field uniform linear array model had been researched in this paper. Combined with the property of AE monitoring, we present that the far-field multiple signal classification algorithm can be applied to estimate the position of the AE signal source. We can basically find the position of the AE signal source by making this algorithm adaptation with roadway shape and workface in the coal mine AE signal detection. The simulation results show that the proposed algorithm could effectively estimate the position of the AE signal source.
Speech source 2D DOA estimation algorithm based on random microphone array
The speech source localization technology based on microphone array had been researched and a far-field signal model based microphone array was obtained. The two dimensions (2D, plane angle and polar angle) speech source DOA estimation algorithm had been proposed by combining this model and subspace methods. Using the MATLAB, several type of array structure was contrastively analyzed. Two kinds of new microphone array, 3D uniform spherical surface array and 3D uniform linear array were designed to 2D-DOA estimation because of ambiguity DOA of the uniform linear microphone array. Simulation results show the high performance of the DOA estimation is given when the proposed algorithm is used in planar uniform circle array, 3D uniform spherical surface array and 3D uniform linear array.
Speech source localization in near-field based on microphone arrays
Based on the characteristics of near-field speech signal,This paper researches localization technology using microphone array.To overcome the inherent limitations of MUSIC,we transform the input signals to frequency domain,and then extract sub-band.On this basis,we estimated the number of receive signals and realize localization of speech source.A fast search algorithm is proposed to find the location of speech source.The simulations res.ults show that in a reverberation room,the algorithm effectively finds the position of the speech source.