A hybrid acoustic holography technique for moving sound source identification based on wave superposition algorithm

To solve the ghost sources problem which occurs in the noise source identification, a hybrid acoustic holography technique based on wave superposition method is developed in our current work. This research extended the wave superposition method to the measurement of the moving sound sources and solves the ghost sources problem in moving sound source identification without adding extra microphones. Short-time wave superposition equations for moving sound sources are established employing the Doppler frequency shift, and the equivalent sound sources are calculated according to the pre-estimation results by the beam-forming method. Then the major sound sources are identified through far field acoustic holography based on these equivalent sound sources. Simulation results and validation experiments with known sound pressure generated by loud speakers have proven that our developed method can not only provide better identification results for locating sound sources accurately but also reduce the side lobe significantly and solve the ghost sources problem successfully, suggesting our method’s potential in noise identification work.