Sound Source Localization Based on Microphone Arrays
Peng Zhang · Chuangan jishu xuebao · 2010
An algorithm of sound source localization in the presence of noise using microphone arrays is proposed.Firstly,each of the sensor outputs is separated into several intrinsic mode functions(IMFs)using empirical mode decomposition(EMD).Secondly,normalized energy of each IMFs is calculated and IMFs were denoised according to normalized energy.The remaining signals are restructured only using main IMFs in order to increase the input signal-to-noise ratio.Lastly,time delay among different microphones is estimated by generalized cross correlation-phase transform(GCC-PHAT)between signals and location is completed by solving the geometry equation.In order to test the proposed algorithm,a preliminary experiment was carried out.The results of comparing experiment data shown that the new method is better than the ordinary algorithm.The experiment results also proved that the proposed method may provide not only an increase in the location but also reliability in the noise environments.