DOA Estimation And System Implementation Of Submerged Buoy Using A Single Vector Hydrophone

The development of marine exploration technology is the basis for safeguarding national maritime rights and interests,ensuring national maritime security,and promoting the progress of marine science.Submersible buoy is an important marine environment detection equipment that can adapt to various marine environments.With the development of shock absorption and noise reduction technology,the radiation noise of underwater targets is greatly reduced,but the reduction is mainly in the middle and high frequency components,and the low frequency components still exist.According to the characteristics of radiation noise,the detection frequency band gradually shifts to low frequency.The vector hydrophone is light in weight,small in size,simple in placement,has good low frequency directivity and strong ability to suppress isotropic noise,and strengthens the detection ability of the submerged buoy.The unique characteristics and excellent performance of the vector hydrophone have attracted the attention of many scholars.In this context,this paper focuses on the single vector hydrophone subsurface buoy,combined with the joint processing method of sound pressure and vibration velocity,and carries out the research on the target azimuth estimation algorithm of single vector hydrophone.According to the index requirements,the overall scheme design of the subsurface buoy system and the design of each subsystem are completed,and the single vector hydrophone subsurface buoy is developed.The specific research contents are as follows.Firstly,the received signal model of vector hydrophone is established,and the joint processing method and gain of sound pressure and vibration velocity are analyzed.Four traditional target azimuth estimation algorithms,CBF,MVDR,Eigen-MVDR and MUSIC,are studied for single vector hydrophone,and numerical simulation is carried out.The performance of the four azimuth estimation algorithms is compared and analyzed.Aiming at the problem of low azimuth estimation accuracy of the above four azimuth estimation algorithms under low signal-to-noise ratio,this paper focuses on the research of deconvolution adaptive cancellation azimuth estimation algorithm under sound pressure and vibration velocity.Aiming at the problem that the adaptive LMS algorithm is difficult to select the step size and the convergence accuracy is low.The variable step size LMS algorithm is studied.The improved log-sigmoid LMS algorithm has faster convergence speed and lower steady-state error.Therefore,an improved time-deconvolution adaptive cancellation azimuth estimation algorithm is proposed.The four basic target azimuth estimation algorithms of CBF,MVDR,Eigen-MVDR and MUSIC are numerically simulated.The performance of the five azimuth estimation algorithms is compared and analyzed.The results show that the improved time-deconvolution adaptive cancellation azimuth estimation algorithm has higher target resolution and more robust performance.Secondly,according to the performance index and functional requirements of the submersible buoy system,the overall scheme design of the submersible buoy system is completed,including the structural design of the submersible buoy,the hardware and software design of the submersible buoy acquisition system,the hardware design of the pre-programming module for voltage conversion and time task,and the program design of the display and control interface.In this paper,the co-vibrating vector hydrophone is used,and the NI sbrio-9609 controller is used as the core of the submersible buoy acquisition system.The development of the submersible buoy system is completed,and the system joint debugging and the performance test of each module are carried out in the pool.The results show that the submersible buoy system meets the requirements of indicators and functions.Finally,through the lake test data of Danjiangkou Reservoir and the lake test data of Qiandao Lake,the field test data verification of single vector hydrophone target azimuth estimation is completed.The performance of CBF,MVDR,Eigen-MVDR,MUSIC four traditional target azimuth estimation algorithms and improved time deconvolution adaptive cancellation azimuth estimation algorithm is compared.The experimental data processing results show that the improved time deconvolution adaptive cancellation azimuth estimation algorithm has higher target resolution and more robust performance.Therefore,the proposed algorithm has feasibility and application value in engineering application.