Abstract
Ship radiated noise denoising is an important step before underwater target detection. To obtain better denoising effect, adaptive fuzzy inference system (ANFIS) is used to denoise ship radiated noise. Experimental results show that there is a nonlinear component in ship radiated noise signal, and ANFIS can deal with this nonlinear relationship. Firstly, the received signal is composed of the random noise with a certain signal to noise ratio (SNR) and the expected signal with a certain SNR, and then the random noise with a certain SNR is added to the mechanical noise to form the reference noise. Finally, the received signal and reference noise are used as the input of ANFIS to get the denoised signal. The experiment is carried out by Monte Carlo method, and the results are evaluated by SNR. The results show that the method has good denoising effect on ship radiated noise.
Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
