A Proposed Hybrid Method for Airtarget Acoustic Signature Diagnosis

The Airtarget acoustic signal always suffers from noise discrepancies depending on the environmental conditions. It is very useful to use Airtarget Acoustic Signature for detection, classification and recognition process. The merged noise with the acoustic signal differs from place to place and from day time to another. Without de-noising process the results of airtarget captured signal will be inaccurate. Therefore, a proposed preprocessing technique is introduced to analyze a noisy airtarget acoustic signal. Considering the benefits of the discrete wavelet transform in de-noising, it is used to preprocess the AT signature.