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With the military electronics technology, particularly the development of underwater acoustic warfare technology for underwater target detection, tracking and identification put forward higher requirements. Traditional active sonar system can not meet the actual needs of the battlefield , while passive sonar location system because of its role in distance, good concealment and anti-jamming ability, etc. and has been well received by the military's favor. Underwater detection technology plays an important role not only in the military in civilian also has an important role . Civil , and marine test , underwater resource development, to help fishing, collision avoidance, navigation and even the ocean and atmospheric circulation sentinel surveillance and other civilian areas are directly or indirectly used in underwater detection technology . This article focuses on passive positioning technology in underwater target tracking application . First, the data for passive location associated with the problem , using a nuclear K-means clustering algorithm for data association , the upcoming nuclear learning method and K- means clustering together in order to overcome the shortcomings of K- means clustering exclude false passive positioning anchor points ; Second, for positioning , in the full study finding and location , arrival time positioning , orientation / arrival time positioning method , based on the measurement method was improved to locate , and were the least squares estimation and recursive least squares method is applied to solve the target location , and improve the measurement accuracy of the positioning , and achieved good results. Finally , the use of measured TDOA location to location and the combination of ideas, propose a new mechanism for finding TDOA location , about more than a passive sonar array evenly distributed in a circumference , while setting a higher center finding accuracy of the base array, according to the geometric relationship between the radiation source and the law of cosines launch position , and analyze the accuracy of this positioning method , the simulation results show that the positioning method has a good effect. Meanwhile, data fusion technology to passive positioning , will more than passive sonar moment in various states have targeted the impact of noisy data as a sequence of disturbances , the application buffer operator , in order to weaken its randomness , and then on buffer operator after further application of the disturbance sequence data fusion techniques to improve and enhance tracking precision positioning systems , simulation results show that this method is effective and feasible.
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