Feature Extraction of Underwater Target Signal Using Mel Frequency Cepstrum Coefficients Based on Acoustic Vector Sensor

Table 1

The recognition probability by using 60-dimension MFCC combined features of sound pressure and particle velocity of simulation signals.

	Sound pressure	Particle velocity
0 dB	77.67%	88.94%
−5 dB	77.22%	80.83%
−10 dB	61.94%	76.28%