Research On Matched-field Source Localization Based On The Vector Array

Matched field processing(MFP) technology is an array signal processing techniques which is great concern at home and abroad in recent years. MFP is a new field of the combining between acoustic model and array signal processing technology which widely applied in target detection, passive location and marine acoustic parameter inversion. The vector hydrophone is a new kind of acoustic sensors appearing in the late of 20 th. It can synchronize and simultaneously access to scalar and vector information of the acoustic field which not only increased the types and quantities of probe information, but also to expand the space of the rear signal processing. It improved the performance of underwater acoustic systems. Simultaneously, it has the advantages of the low frequency directivity, isotropic noise suppression and port/starboard discrimination. It provided many new ideas and methods in problems at acoustic engineering.In this paper, a combination of the MFP and vector acoustic field is proposed. The localization performances of several broadband matched-field processors which based on the pressure and particle velocity are analysis in this paper. Under the different matched amounts, the broadband Bartlett processors and adaptive matched-field processor in the method of coherent and incoherent have a comparison study. The main study contents and innovations as the follow shown:1?The theory of the classical acoustic propagation model is expounded. The performance feature of the acoustic computation is compared. According to the problem of shallow water, low frequency and far field acoustical detection, the Normal Models is choosing. The computational problem of vector acoustic field under the Normal Models is systematically discussing. The expression of Normal Models computation in ocean acoustic field id derived which is the theory foundation of the research of matched field source localization based on vector array.2?Several matched field processors in pressure field was comparison. The particle velocity was introduced to the Bartlett processor and adaptive minimum variance matched field processor, which established the vector matched field processor. Expand the processor to broadband signal processing, the broadband coherent and incoherent vector matched field processor were established. It had a perfect disturb suppressing performance.3?The effects of the signal to noise ratio in the performance of matched field processors were researched. It come the conclusions that the coherent method was advantage of the incoherent method to suppress the side-lobe under different matched accounts. At the same time, the combine of the pressure and horizontal velocity had the best localization performance. The influence of the number of array element to matched field processor localization performance was researched. It draws the conclusion that the vector array had a better localization performance.4?The environmental parameters mismatch analysis to vector matched field processor was done in this paper. The sea speed profile and seabed parameters were choosing to analysis vector matched field processor localization performance. It draws the conclusion that the coherent Bartlett processor based on the combine of pressure and horizontal velocity had the maximized tolerance to environmental parameters mismatch. It has more perfect practical value.5?Though the data processing of the sea trial and lake trial, the effectiveness of vector matched field processor was verified.