Separation of multiple targets using a single vector sensor based on Hilbert-Huang transform

An application of Hilbert-Huang transform combining with the vector signal processing in underwater acoustics is introduced.The technique has many advantages in comparison with traditional methods.In Hilbert-Huang transform,the intrinsic mode function is derived from the data by their characteristic time scales.Each IMF is an intrinsic oscillatory mode,and it can be identified as the intrinsic oscillatory of one target.Hilbert-Huang transform decomposes the data into IMFs to better separate the energy of different targets.The instantaneous frequency,instantaneous energy and instantaneous azimuth obtained by HHT can be defined everywhere.The amplitude-frequency-azimuth-time distribution of the signal can provide rich information of targets.In comparison with traditional methods,the new method not only gives better result,but also fit for nonlinear and non-stationary signal processing.