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Demonstration of the Real-Time Tracking Gradiometer for Buried Mine Hunting While Operating From a Small Unmanned Underwater Vehicle

机译:埋藏矿山狩猎实时跟踪尺的实时跟踪量表,同时由小型无人驾驶水下车辆运行

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In many undersea conditions, optical sensors and sonar can be used to discriminate against sea mines. However, there are many conditions where these sensors are insufficient. For example, when a mine is fully buried these sensors are of little help. Under these conditions, additional sensor technologies are required. Since it is not affected by the medium, a technology of choice is magnetics. In the late 1990's a "T-shaped" gradiometer with a 12-inch baseline was developed. It became known as the RTG. Measurements performed in the nonmagnetic facility at the Naval Surface Warfare Center Panama City (NSWC-PC) demonstrated good localization capabilities and it was selected to become part of an ONR initiative to replace the human diver with Unmanned Underwater Vehicles (UUVs) using custom designed payload modules in high-risk mission areas. In the early 2000's the land-based RTG was refitted for underwater applications and integrated with the Florida Atlantic University's Buried Object Scanning Sonar (BOSS). Both were operated from a towed nonmagnetic sled where they demonstrated the ability to localize on buried undersea magnetic targets. The collection of simultaneous magnetic and acoustic data provided the opportunity to apply sensor fusion. While the towed nonmagnetic sled was an ideal magnetic platform, it was unsuited for the shallow water operations required by the Navy. In response to those requirements, both RTG and BOSS were redesigned to fit on newly developed UUVs, such as the 12.75"-diameter Bluefin 12. As expected the UUVs magnetic platform noise level was considerably higher due to the increased number of magnetic noise sources on an active autonomous vehicle and the closer placement of the RTG to these noise sources. To mitigate this increased noise, a magnetic noise cancellation system using magnetometers and current sensors, strategically placed within the control section of the UUV, was implemented. The initial underwater shake down of this entirely new system occurred in August 2005. This demonstrated, for the first time, autonomous control of the RTG by the Bluefin 12. Sea tests continued during 2006, collecting simultaneous data from the RTG, BOSS and a simple optical camera. These co-registered data have been used to demonstrate the common detection and localization of buried targets. This paper focuses on the 2006 sea testing of the system and the initial analysis of the data from the fluxgate-based RTG.
机译:在许多海底条件下,光学传感器和声纳可用于区分海洋地雷。然而,有许多条件,这些传感器不足。例如,当一个矿井完全埋下时,这些传感器有点帮助。在这些条件下,需要额外的传感器技术。由于它不受媒体的影响,因此选择的技术是磁性。在1990年代后期,开发了具有12英寸基线的“T形”成绩表。它被称为RTG。在海军地面战中心巴拿马城(NSWC-PC)的非磁性设施中进行的测量展示了良好的本地化能力,并选择成为在使用定制设计有效载荷的无人水下车辆(UUV)取代人类潜水员的ONR倡议的一部分高风险任务领域的模块。在2000年初的2000年初,基于土地的RTG被改进了水下应用,并与佛罗里达大西洋大学的埋藏对象扫描声纳(老板)一体化。两者都是由拖曳的非磁性橇操作,在那里他们证明了能够定位埋下的下部磁靶的能力。同时磁性和声学数据的集合提供了应用传感器融合的机会。虽然拖曳的非磁性橇是一个理想的磁性平台,但它是不合适的海军所需的浅水运营。为了响应这些要求,RTG和老板被重新设计以适应新开发的UUV,例如12.75“--diameter Bluefin 12.由于预期,由于磁噪声源的数量增加,UUVS磁性平台噪声水平显着更高积极的自主车辆和遥控器的仔细放置到这些噪声源。为了减轻这种增加的噪声,实现了使用磁力计和电流传感器的磁噪声消除系统,策略性地放置在UUV的控制部分内。初始水下抖动这个完全新的系统于2005年8月发生。这是第一次证明了蓝鳍鳍片12的rTG自主控制。2006年的海上测试继续,从RTG,BOSS和简单的光学相机收集同时数据。这些共同注册的数据已被用于展示埋地目标的常见检测和本地化。本文重点介绍了2006年的SY阀杆基于浮雕的RTG的数据初始分析。

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