Research On Multistatic Fusion Detection And Location Technology Of Underwater Target

With the exploration and exploitation of marine resources,various countries pay more and more attention to the marine field.Nowadays,the marine combat environment is becoming more complex and the radiated noise of underwater vehicles decreases year by year.In order to realize the detection and location of weak targets,it is necessary to put forward higher performance index of underwater system.The traditional monostatic system has been unable to meet the needs of target in complex underwater environment.The multistatic underwater system can effectively improve the performance of the system because of its long range,strong detection capability and high positioning accuracy.Firstly,the array configuration method of multistatic buoy array is studied in this paper.Through the grid-based optimization iterative algorithm for the designated sea areas,combined with threat interception and positioning search tactical tasks,the linear and circular layout forms of multistatic buoys are studied.Based on the cassini egg line model,the equivalent signalnoise-ratio curve under a given underwater index is analyzed,and the target coverage of the multistatic buoy array is obtained.Secondly,the fusion detection method of multistatic buoy array is studied.By using the mean detector for the monostatic buoy and based on the above multistatic configuration results,the fusion detection performance of each base under the hard and soft decision neiman pearson fusion criterion and the K/N fusion criterion is studied,and the equivalent detection probability curve under a given underwater detector index is analyzed based on a certain combat index.The fusion detection capability of multistatic buoy array under different fusion criteria is compared.Thirdly,the location method of multistatic buoy array is studied.Through the redundant information of multistatic time delay measurement parameters and based on the above multistatic configuration results,the location algorithms of multistatic buoy array based on time only location,line least squares,best linear weighted and weighted least squares are studied in two-dimensional horizontal coordinates.The HDOP curves under given underwater detector parameter errors are analyzed based on different indexes.The positioning errors of multistatic buoy array when under different positioning algorithms are compared.Finally,an improved location optimization method of simulated annealing multistatic buoy array is studied.Because the traditional simulated annealing algorithm is affected by global randomness,with the problems such as slow convergence,large amount of computation and poor robustness.Combined with adaptive control,longicorn beetle antennae search and confidence threshold theory,an multistatic buoy array location optimization algorithm combining variable antennae beetle antennae search and simulated annealing by removing constraint is obtained.The performance changes of the algorithm under different simulation parameters are analyzed.The research shows that compared with the traditional method the improved simulated annealing algorithm can effectively improve the speed of convergence,reduce the number of iterations and improve the positioning accuracy with certain engineering application value.