Software Research And Methods Of Location And Identification For Underwater Noise Source

Sonar is the most significant electronic equipment of submarine body. It can be used for underwater acoustic communications, guidance, navigation, weapons fire control and combat. Also, it can be used for detection for underwater targets, tracking, positioning and identification. No mater it is active sonar or passive sonar, beamforming systems is the core components—which is foundation for good technical and tactical performance.In recent years, the radiation noise level of submarine is continuing to decrease—which means the traditional far-field measurements and analytical tools have been unable to obtain valid information of submarine system. At the same time, with the lower frequency signal analysis and the increase of scale for the array, the noise source may be located in the near-field area of the array. Vector sensor array can eliminate single directional ambiguity of conventional linear array for non-ambiguous directional capability of a single vector and obtain low side lobe beam due to the ability of anti-white noise—which can improve target location accuracy effectively. Therefore, research on vector array beamforming method in the near-field has important significance.In this paper, the application conditions of vector array in the near-field noise source location identification based on near-field array theory are analyzed. Then, the basic principle of focused beamforming of vector sensor array is analyzed and near-field beam map of vector array can be equivalent to far-field directivity diagram is concluded. In addition, the impacts of various parameters on spatial resolution are analyzed. This paper focuses on the conventional beamforming method based on vector sensor array, and analysis of simulation shows that this method can locate the noise source effectively with good focused resolution. Finally, the impacts of various parameters on focused resolution are analyzed.Another important task for this article is using Visual C++6.0 and IDL7.0 together to develop mechanical system noise source location identification system software. This software has functions of system data management, calibration, data preprocessing, noise source location and identification, mapping and so forth. After comparison, the calculated results of the software are fully consistent with the results of MATLAB and the computing speed is faster. The operation interface is simple and intuitive, and embeds the location recognition algorithm such as acoustic holography. Parameters can be modified according to different conditions to meet the actual needs of working conditions in the software—which has strong practicality.