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Integration Anti-countermeasure Method Of Complex Underwater Acoustic Environment

Posted on:2019-10-11Degree:DoctorType:Dissertation
Country:ChinaCandidate:L YuFull Text:PDF
GTID:1362330623953426Subject:Pattern Recognition and Intelligent Systems
Abstract/Summary:PDF Full Text Request
With the increasing complexity of underwater acoustic countermeasure environment,when the torpedo attacking,the noise jammer,gas curtain and other jamming equipment,and various kinds of decoy will be release to interfering or inducing the torpedo’s attacks.All kinds of jamming devices and decoys in the complex underwater acoustic countermeasure environment coexist.The uncertainty of release time,type,sequence,quantity and so on has brought many challenges to the accurate target.For the complex acoustic countermeasure situation,this paper presents the corresponding counter-countermeasures method,proposes the integrated Anti-countermeasures method of tracking,recognition(optimization),beam configuration and guidance technology.Making the best use of the acoustic and motion attributes of targets and decoys,research on the technology of multi-target tracking,target optimization,torpedo beam configuration and guidance in complex underwater acoustic environment,are of great significance to achieve precise strike of torpedo.Specific work and innovation are as follows:(1)In view of the complex underwater acoustic countermeasure environment,an integrated method of underwater acoustic anti-countermeasure is proposed.Through the analysis of acoustic properties and motion characteristics,under the modern multiple target tracking system,the single and combination of underwater acoustic anti-countermeasure strategy and architecture has been given,the design of the integrated method which contain the multi-target tracking,optimization,the torpedo guidance and the beam configuration method has been completed.(2)Under the condition of multiple decoy jamming,the nearest neighbor data association method has the problem of missing or misleading real target.Using feature information of echo broadening attribute,the feature aided nearest neighbor data association method is proposed.As there is a difference of the strength attribute between the decoy and the target,in the data association,the target and the decoy are distinguished effectively,and the tracking performance of the nearest neighbor method is improved.The method of the length identifying and tracking of the underwater acoustic target based on the joint optimization is proposed by using the echo broadening attribute of the target.This method uses the method of the nearest neighbor data association method to realize the joint optimization of tracking and identification,and improves the performance of the nearest neighbor data association method.The simulation results show that the two methods proposed in this paper can effectively track the target and exclude the decoy.(3)Aiming at the problem of low accuracy and weak robustness for the target optimization method based on single attribute information,the cost benefit target attribute and the identified target attribute are defined according to the characteristics of the underwater acoustic target attribute.For the six cost benefit type target attribute,the paper puts forward a grey correlation target optimization method based on multi-attribute fusion.For the four identified target attributes,a hierarchical fusion target optimization method based on evidence theory is proposed.The simulation results show that the two target optimization methods proposed in this paper can effectively optimize the underwater acoustic multi-targets under different attribute acquisition conditions.(4)For conventional beam configuration method,the configuration of the beam and direct way is in an immobilized configuration mode,it is difficult to achieve effective beam allocation under self navigation decoy jamming environment.This paper introduces the optimization results of the above chapter to the beam configuration,and proposes a method of beam configuration based on the performance of the lobe.The method establishes the efficiency function of considering the target probability,tracking demand,identifying demand and task demand factors.The calculation methods of the performance of each factor and the comprehensive efficiency function of the lobe are given.By dividing the target in the beam range,the beam configuration is carried out according to the maximum target efficiency in each lobe.The simulation results show that this method can track,identify and effectively carry out the beam configuration.(5)In view of multiple decoy environment,single target guidance method can not guarantee effective guidance in multi-target situations.Using the above target tracking and optimization results,a multi-objective guidance method based on artificial potential field method is proposed.In view of the idea of artificial potential field,a multi-target guidance method is defined by attracting attention degree,traction attention degree,and guidance attention degree in order to ensure that the maximum probability target does not lose and take into account the needs of the recognition of other targets.The simulation results show that this method not only ensures the guidance of the preferred target,but also helps to identify other targets.(6)According to the object-oriented thought,use Matlab to build a typical underwater acoustic countermeasure simulation environment,the simulation of multi-target tracking,optimization and anti-collision trajectory is carried out through various comprehensive typical scenarios,and the above methods and strategies are evaluated.The integrated system analysis of torpedo Anti-countermeasure in underwater acoustic environment is completed.
Keywords/Search Tags:underwater acoustic countermeasure, underwater acoustic integrated anti-countermeasure method, multi-target tracking, target optimization, beam configuration, guidance
PDF Full Text Request
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