The research of underwater acoustic signal preprocessing theory and virtual instrument is very important during underwater counterwork and the performance testing of underwater sonar system. Nowadays, computer technology develops quickly, the computer simulation is widely used in every aspect of technical field, and this technology play an important role in underwater acoustic engineering. This paper aims at the underwater acoustic signal preprocessing theory and the virtual instrument for it. The main works can be summarized as follows:1,Based on traditional LMS algorithm, a improved step changed LMS algorithm is discussed and analyzed. Finally, a LMS algorithm and program flow chart in underwater passive sonar signal preprocessing is put forward, and the capability is proved by the computer simulation.2,The theory in wavelets is discussed and analyzed, advantages of the wavelet transform and the wavelet packet transform in signal denoising is proved by the computer simulation. The computer simulation also proves that wavelet transform can be used to reduce normal noise and symmetry distribution noise, and improve detectability in the underwater passive sonar signal preprocessing fields.3,The disadvantages of traditional database technology during the underwater acoustic signal preprocessing is discussed and analyzed. For most databases can just be simply used to write,find and get statistics of underwater acoustic data, we introduce the theory of data mining, analyze the difficulties of data mining during underwater acoustic signal preprocessing, and provide a data mining scheme of underwater acoustic signal preprocessing which based on neural network.4,the underwater acoustic signal preprocessing system is analyzed,and a virtual instrument platform used to deal with the underwater acoustic signal preprocessing is designed, the test results meet the requirements. |