Research On Searching Capabilities Optimization Of Anti-submarine Equipment System Of Systems

Anti-submarine War(ASW) issue has always been the navies attention.Given thecurrent level of scientific development, the knowledge and awareness people on theocean acoustic environment are still in the early recognition stage, and the gaps betweenthe developed countries and undeveloped countries in ASW capabilities are beingnarrowed objectively. Although the ASW to the attention of all countries, but for thesubmarine search, tracking is still faced with many difficulties, especially in shallow seaarea. Reverberation and reflection formed by background noise can almost put thesubmarine’s covered. Many times, the detecting and tracking to submarine need througha variety of military and intelligence as assistant means. In this paper, aiming at theASW searching methodolgy, macroscopic analysis on key issues such as detection,coverage, and searching and combat and other aspects of are discussed in detail. Thecontent of this research includes:(1) ASW systems of system (ASWSOS) research background and related research.After given the generalized definition and narrow definition of ASWSOS, mainproblems the anti-submarine facing are summarized, and puts forward the key problemsto be solved.(2) The hierarchical demonstration framework of ASWSOS searching issue. Jointdetecting, joint covering, joint searching and integrated system and optimization ofASW are analysed. After establishing the hierarchical decision framework on searchingproblem of ASWSOS, this paper lists these major theoretical issues to be solved in theframework.(3) Integrated configuration algorithm based on weighted Voronoi diagram (WVD).ASWSOS operational node with a variety of operational function is established abilityindex system which is described by power exponent. Such integrated indexes are asinput values of WVD which draw the range of ASWSOS operational node capability.Through analysis comparison in WVDs, the commander of ASWSOS can optimizeoperational force’s distribution or reposition plan.(4) Heterogeneous sensors joint detection algorithm. Because detection range anddetection region shape vary greatly for detection equipment in ASW, this chapter putsforward the concept of detection profile anti-submarine detection profile (ASDP) isintroduced as well. By planar integration of detected profiles from different detectiondevice, the probability of area (POA) detection is formed, and POA is one of the mostimportant concepts.(5) Joint search algorithm based on the HMM-JS framework. Submarine’s infestedfeatures in sea battlefield conform to Markov rules, and various states of submarinemoving underwater can be enumerated by parameters such as speed, heading, position and other parameters. Joint searching model based on Hidden Markov Modeling(HMM)is put forward and two cases combined search algorithm, medium and shortrange of search,, are proposed.(6) Combined coverage algorithm of heterogeneous wireless sensor network(HWSN). As operational nodes of WSN are similar to ones of ASWSOS, computingsimilarities and differences are studied in this chapter. Formal description of HWSN isgiven and it proposes operational node combined coverage algorithm in three typicalconditions with POA algorithm.The innovation of the thesis includes: After a macroscopical analysis fromASWSOS level, main issues of all aspects are abstracted and a hierarchicaldecision-making framework for ASWSOS searching algrithm is proposed; Put forwarda new capacity division method of operational node using WVD. Through the analysisof the different operational node ability, we can improve the theoretical basis ofASWSOS searching algorithm. ASDP algorithm are given which contains two aspect:one is the projection of heterogeneous sensors range and the other one is data fusion ofcombined detection, furthermore, the concept of POA is put forward, which is an veryimportant tool for analysis of integrated combat situation. The uniform state threatlevels can also be reflected by POA of ASDP; Three kinds of typical joint coveragealgorithms based on the HWSN are established, combined with joint searchingalgorithm based on HMM-JS two-layer decision framework," decision making andaction", is formed.Comparing Probabilistic Coverage model of WSN to POA-BasedHWSN, it is obviously that the former is one of a special case of the latter.Strengthen research on searching problem of ASWSOS is an important content ofjoint antisubmarine action based on information system. As the traditional singleplatform or the arms of small scale antisubmarine action extends, the research of issuein this paper is a forward-looking and very urgent research. This methodology thisarticle discussed will provide theory support for the future ASW.