Azimuth Estimation Of Automobile Noise Source Based On Sound Vector Sensor Under Complex Background Noise

Be regarded as an important pollution source of environment, automobile noisenot only affect comfortableness of passengers, but also it is the main source of thehighway traffic noise.For this reason, how to control the noise more efficiently become a majorresearch subject of auto industry. So the main course of the noise control is to find themost important noise source of the vehicle. Automobile is a very complicated,combined type noise source which move in high speed. There are lots of reasons forthe automobile noise’s generation which included the vibration during the working ofthe engine and the drive system, the friction between the tyre and ground, the car bodyand air. Because of these, it is tremendous motivation for the auto industry that tosolve the identification problem of the vehicle in the noisy environment which iscomplicate. The elementary object of acoustics’ traditional identification technical isto measure the sound pressure on the holographic face. It reconfiguration the normalvibration velocity and sound intensity of sound source ‘s surface through Orthogonaland conformally method and boundary element method,etc. After that, it will give thevisual description of the sound field. But this arithmetic has a lot of problem whichinclude low conversion rate and precision, adaptability for the surface shape of thesound source. About these problem, this paper take the sound vectorial sensor to thefield of identification of the vehicle’s noise source, and collect the automobile noiseon the physics foundation of the sound vectorial sensor.We will make the noise of theengine to be the main noise source and to research the methods of how to identify thebearing of the noise source. Because of the physic property of the sound vector sensor, it will collect more signal information than the traditional scalar sensor.Then, we cando the circulatory MUSIC arithmetic and ESIPRIT arithmetic...