Algorithm for acoustic camera with post processing analysis

Acoustic camera is usually used for identifying the dominant noise source. Commercial version is easy to use and in many cases gives satisfactory results. However, high complexity of the sound sources, their movement, and their spatial distribution often present difficulties during the identification of the dominant noise source. Older versions of acoustic camera can not provide an acoustic image of the moving sources. The inability to record targets in motion renders old versions useless, when faced with a task of recording actual traffic or identifying a sound that is spreading from certain parts of the vehicle. To be able to analyze moving objects new acoustic camera algorithm was designed. During the design process few different algorithms have been investigated. Advantages and disadvantages of algorithms are discussed and the algorithm for sequential signal analysis which gives the ability to track moving targets is outlined.