Target Tracking And Positioning Based On Vector Hydrophone Array

Vector hydrophone is widely used in the field of underwater sound,which is better than the sound pressure hydrophone.The localization and tracking of underwater targets based on vector hydrophone array are studied.Firstly,the research status of vector hydrophone and underwater target tracking and positioning is introduced.The characteristics of underwater propagation model and underwater acoustic channel are introduced.The conventional beamforming algorithm and its performance are discussedThen,the signal model of the vector hydrophone is introduced.The vector hydrophone can obtain the velocity information in the sound field,which is better than the sound pressure hydrophone.The conventional beamforming algorithm of the vector array is introduced,The algorithm of high resolution beamforming algorithm:the principle of multiple signal classification algorithm and minimum variance without distortion response algorithm is introduced,and the performance of the algorithm is analyzed.the solution of the coherent field is proposed by the method of spatial smoothing.The algorithm is compared with the conventional beamforming algorithm of sound pressure array and vector array and the directivity of high resolution algorithm.The coherence of the source on the DOA(Direction of Arrival)estimation performance,and the effectiveness of the decorrelation DOA algorithm.Then,the modeling method of ship noise is introduced,and the ship noise is divided into continuous spectrum component and line spectrum component respectively.The broadband based on Incoherent Signal-subspace method(ISM)DOA estimation algorithm,ISM algorithm decomposes the wideband signal into several narrowband signals,transforms the broadband DOA problem into narrowband DOA problem,and the algorithm performance is analyzed.The wideband DOA estimation algorithm is introduced.Based on the spatial resampling algorithm,Ensure that the spatial spectrum of the different bands has the same main lobe width and avoid waveform distortion.The effectiveness of ISM method and constant beamwidth DOA estimation algorithm in ship noise is compared by simulation experiment.Finally,a Kalman filter algorithm is introduced,which is used to predict the azimuth of the target.The data association method of multi-target tracking is introduced,and the association method based on the characteristics of the ship noise line spectrum is put forward.The performance of Kalman filter tracking based on different DOA estimation algorithm is compared with the simulation of multi-target tracking problem,and the effect of DO A algorithm on tracking effect is verified.Comparing the tracking performance of conventional data association and ship noise spectrum correlation,the validity of the correlation method based on ship noise spectrum is verified.A multi-objective joint tracking algorithm based on feature line spectrum narrowband DOA and wideband DOA is studied,and the multi-target tracking ability of the algorithm is verified...