A data fusion technology was proposed based on neural network and evidence theory

and a data fusion model consisting of the sensor subnet and the fusion subnet was established based on the measurement principle of acoustic holography.The sensor subnet on neural network was given to realize the map from the target characteristic parameters to the target type

so that the preliminary output was obtained. Then

the evidence theory and target information were synthesized to obtain the final identification result was obtained. Finally

an example was provided to illustrate the application of data fusion technology to the sound source identification of acoustic holography. Experimental results indicate that the identification rate of sound source is 94.2% after data fusion

It is increased by 11.7%. The application of data fusion technology can reduce the adverse effects caused by insufficient information or accidental errors and make the identification results of sound source more reliable.