水下机动目标跟踪技术研究  

Research on underwater manoeuvre target tracking technology

作　　者：张林琳[1,2] 杨日杰[1] 杨春英[3] 

机构地区：[1]海军航空工程学院电子信息工程系 [2]中国人民解放军91528部队 [3]海军航空工程学院青岛分院

出　　处：《声学技术》2011年第1期68-73,共6页Technical Acoustics

基　　金：航空科学基金(20095184005);泰山学者建设工程专项经费

摘　　要：水下目标跟踪是海洋国土监视、反潜战等环境下的关键技术。以往的跟踪滤波算法主要基于卡尔曼滤波、扩展卡尔曼滤波等算法,这些方法实现比较复杂,滤波精度不高。最近出现了不敏卡尔曼滤波、粒子滤波、转换瑞利滤波、双多基地跟踪算法等,需要研究这些算法在水下目标跟踪中的性能。总结对比了国内外学者在此领域的研究成果,得出了这些滤波算法在水下目标跟踪中的优缺点。重点论述了纯角度跟踪和非线性滤波算法的发展、在水下目标跟踪中的应用以及多基地声纳跟踪水下目标技术的发展,回顾了机动目标跟踪和多目标数据互联算法。研究表明,非卡尔曼滤波算法能够更高精度地跟踪水下目标,双多基地声纳是今后发展的重点。为今后的研究提供参考。Underwater target tracking is the key technology of ocean surveillance and anti-submarine warfare.The most previous tracking algorithms are based on Kalman filter,Extended Kalman filter and so on.These algorithms are complex to use,and their performances are not satisfied.In recent years,the unscented Kalman filter,Particle filter,Shifted Rayleigh filter and multistatic sonar tracking algorithm have been proposed.It is necessary to research the performances of these algorithms in underwater target tracking scenario.This paper summarizes the research work in this area,and contrasts these algorithms＇ performances.The development of bearing-only tracking,nonlinear filter algorithm and multistatic sonar tracking are discussed in detail.Multitarget data association and manoeuvre target tracking algorithm are also involved.The study shows that non-Klaman filter can track underwater targets with higher accuracy,and multistatic sonar tracking method is becoming hotspot in this area.This paper can be a reference for the same research work in the future.

关 键 词：水下目标跟踪 纯角度跟踪 多基地声纳 数据互联 

分 类 号：TG156[金属学及工艺—热处理]