Underwater Target Multidimensional Radiation Noise Analysis Of Characteristics Of The Technology

Nowadays, human development is increasingly dependent on marine resources, and acountry’s territorial waters, whether from a development point of view or from the strategicsignificance, there is great significance. Now, with the using of the vibration andnoise-reduction technology, the noise of ship is a significant reduction, so it needs hydrophoneto adapt to the complexity of the underwater sound field, and to adapt to a low SNRenvironment. Compared to the conventional sound pressure signal vector, the acoustic vectorsignal of hydrophone received suitable for low SNR environment better. In this paper, thevector acoustic signal is used to extract the target’s feature, and combined with the BP neuralnetwork to identify the target. And use the phase information of line-spectrum distinguishline-spectrum source, to provide new ideas for shell vibration and noise reduction. This papermainly working content as follows:First of all, of the acoustic signal of time domain, characteristics are analyzed andmodeling simulation. The state of different sports submerged body radiation noise areanalyzed, and the simulation model.Second, study the sound pressure signal spectrum and the sound signal cross spectralvector, and compares the sound pressure signal from spectrum and sound vector signal theperformance of the cross spectrum. the higher order statistics related knowledge and dualspectrum, mutual dual spectrum algorithm. Use the spectrum estimation and mutual doublespectral estimation to extract simulation signal features, and in the light of the characteristicsof extraction using dual spectrum slice further extraction means target features. Contrastsound signal mutual dual spectrum and vector routine sound pressure signal the performanceof the double spectrum. And then based on vector hydrophone of actual measurement signalfeature extraction, extract the features vector used for target recognition. In addition,researched direction of the phase information, used t the phase information of line-spectrumdistinguish line-spectrum source, which distinguish is stimulated by external forcesline-spectrum or shell itself from the resonance spectrum. At the same time a simple system offorced vibration amplitude frequency, phase frequency characteristics are simulation analysis,and then the measured data line-spectrum stability analysis, including amplitude frequencystability and stability.Finally, the BP neural network has been studied. Using second order, high orderspectrum of the extraction of target features characteristic vector and normal pressure signal harmonic respectively from two aspects of vector signal, two kinds of submerged body themeasured data target recognition. And compared by using conventional pressure signal anduse sound signal target recognition results vector.This paper through the above research, extraction to target features modern low SNRenvironment target identification, at the same time use the distinction between the phaseinformation of the spectrum line-spectrum sources, used for reducing vibration and noise.