Research On Detection Algorithm Of Underwater Moving Target Based With Active Sonar

In the 21 st century,more and more new fields need to develop and utilize marine resources.With the introduction of the concept of "ocean power",human beings have gradually realized the importance of the ocean,and the requirements for sonar systems have become higher and higher.People expect to obtain more information about the target on the basis of finding the target.However,the underwater environment is complex,which often makes the signal location information that you want to obtain unclear,or submerged in the background and cannot be distinguished.Therefore,it is very important to study detection algorithms with high resolution performance for practical underwater environmental problems.Conventional matched filtering and beamforming algorithms are robust and easy to implement,which makes them widely used in underwater detection.However,conventional algorithms can be found to have limited angular and range resolutions and high side lobes when performing underwater signal processing.In order to improve the resolution of underwater moving targets,this paper studies the post-processing method of traditional algorithms based on matched filtering and beamforming.resolution.This paper takes the Richardson-Lucy(RL)deconvolution algorithm as the core,and applies it to two dimensions to deconvolve the twodimensional range-azimuth spectrum output by conventional matched filtering and beamforming,so that it can obtain a narrower At the same time of the main lobe width,a lower side lobe level is also obtained,which improves the resolution of the target.After two-dimensional deconvolution,a high-resolution target range-azimuth spectrum is obtained.The traditional processing method is to draw multiple continuous range-azimuth spectra into a video image.Through dynamic observation of the video,the target mixed in the background can be distinguished,but the final judgment still depends on the human eye.In order to improve the automatic processing method,this paper adopts a moving target detection algorithm based on computer vision processing-Vi Be algorithm.The video of the underwater moving target is input into the ViBe algorithm model to achieve the purpose of automatically extracting the moving target.Finally,the algorithm described above is used in the processing of the actual measured experimental data.Two-dimensional deconvolution is performed on the received echo signal first,and a clear high-resolution range-azimuth spectrum is obtained.The obtained rangeazimuth spectrum of the target is drawn into a continuous video image,and the Vi Be algorithm is further used to extract the moving target.Through the processing of experimental data,the feasibility of the algorithm adopted in this paper is verified,and a clearer target and target movement trajectory are obtained.