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Bistatic synthetic aperture imaging of proud and buried targets from an AUV

机译:AUV引爆和掩埋目标的双基地合成孔径成像

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The use of autonomous underwater vehicles (AUVs) for the detection of buried mines is an area of current interest to the Mine CounterMeasures (MCM) community. AUVs offer the advantages of lower cost, stealth, reduced operator risk, and potentially improved coverage rates over more traditional mine hunters. However, AUVs also come with their own set of difficulties, including significant error in navigation and low communication rates with the mother platform and each other. In the case of bistatic detection scenarios, AUVs will therefore have difficulty knowing where exactly in space they are and the trigger time of sources on other platforms, be they ships or other AUVs. However, the potential improvement in detection and coverage rates offered by bistatic sonar concepts makes resolution of these issues a high priority. In this paper, the problems of inaccurate navigation and source timing information are addressed for the Generic Oceanographic Array Technology data set. In this experiment, conducted off Marciana Marina during June 1998, a MIT AUV with a SACLANTCEN acoustic array and acquisition system was used together with a TOPAS parametric sonar to explore issues of buried target detection using AUVs. In this paper, solutions to the navigation and timing problems are proposed which enable the effective use of bistatic synthetic aperture sonar (SAS) concepts for the detection of buried objects in the mid-frequency regime of 2-20 kHz.
机译:地雷对策(MCM)社区当前正在使用自动水下机器人(AUV)探测埋藏的地雷。与更传统的扫雷器相比,AUV具有成本低,隐身性低,操作员风险低以及覆盖率提高的优势。但是,自动水下航行器也有其自身的一系列困难,包括导航方面的重大错误以及与母平台以及彼此之间的通信速率低。因此,在双基地探测的情况下,AUV将很难知道它们在太空中的确切位置以及其他平台(无论是船上还是其他AUV)上源的触发时间。但是,双基地声纳概念在探测和覆盖率方面的潜在改进使解决这些问题成为当务之急。在本文中,针对通用海洋学阵列技术数据集解决了导航和源定时信息不正确的问题。在1998年6月于Marciana Marina进行的该实验中,将带有SACLANTCEN声阵列和采集系统的MIT AUV与TOPAS参数声纳一起使用,以探索使用AUV探测掩埋目标的问题。在本文中,提出了导航和定时问题的解决方案,这些解决方案使得能够有效利用双基地合成孔径声纳(SAS)概念来检测2-20 kHz中频范围内的掩埋物体。

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