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Microphone array speech target localization based on energy-characterized sub-bands

To ameliorate the situation that the incoherent signal-subspace method (ISM) is computationally expensive, an improved method named energy-peak incoherent signal-subspace method (EPISM) is proposed in this paper. According to this method, the amount of the speech targets is firstly estimated based on the microphone array input data. After that, we extract the energy-characterized sub-bands (ECSBs) on which the signal energy is concentrated. By analyzing the estimated amount of speech targets and the ECSB data, the aim of localizing the speech targets is achieved. Simulation results indicate that EPISM successfully localizes the speech targets and its amount of calculation is smaller than ISM.