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Acoustic-telemetry payload control of an autonomous underwater vehicle for mapping tagged fish

机译:用于映射标记的鱼类自治水下车辆的声学 - 遥测有效载荷控制

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Autonomous underwater vehicles (AUVs) have demonstrated superior performance for tracking marine animals tagged with individually coded acoustic transmitters. However, AUVs engaged in mapping the distribution of multiple tagged fish have not previously been able to alter search paths to achieve precise position estimates. This problem is solved by the development of payload control software (Synthetic Aperture Override, SAOVR) that allows the AUV to maneuver with trajectories favorable for solving the tag's location from a synthetic aperture. Upon tag detection during a default mission search path, SAOVR (running on an embedded guest computer) seeks permission to take over navigation from the vehicle's native system after checking constraints of geography, timing, tag identification, signal strength, and current navigation state. Permitted maneuvers are then chosen from a template library and executed before returning the AUV to the point of first deviation for continued searching of other tags. Field evaluation on moored reference tags showed a high level of predictability in the AUV's behavior at SAOVR initiation and through maneuvers. Trials suggest that this logic system is highly beneficial to AUV use for fish telemetry in challenging environments such as narrow, deep fjords, or among reefs. Any mission programmed with the AUV's native software can be run with the SAOVR package to allow scientists to easily implement and manipulate synthetic aperture geometries without altering any of the software. Further modeling can help improve template design specific to expected movements of different fish species and relative to the designation of signal strength-defined execution thresholds.
机译:自主水下车辆(AUV)已经表现出卓越的性能,用于跟踪标签的船用动物标记为单独编码的声学发射器。然而,从事映射多个标记鱼的分布的AUV以前没有改变搜索路径以实现精确的位置估计。该问题通过开发有效载荷控制软件(合成孔径覆盖,SAOVR)来解决,其允许AUV与轨迹操纵,该轨迹有利于从合成孔求解标签位置的轨迹。在默认任务搜索路径期间,Saovr(在嵌入式客户计算机上运行)试验在检查地理,时序,标签识别,信号强度和当前导航状态的约束后,从车辆本机系统中追求从车辆的本机系统中接管允许。然后从模板库中选择允许的操纵并在将AUV返回到第一次偏差的点之前执行,以继续搜索其他标记。系泊参考标签的现场评估显示了AUV在Saovr启动和通过演习的AUV行为中的高度可预测性。试验表明,这种逻辑系统对AUV用于鱼类遥测的AUV使用,如狭窄,深峡湾或珊瑚礁中的鱼类遥测。使用AUV的本机软件编程的任何使命可以使用Saovr包运行,以允许科学家轻松实现和操作合成孔径几何形状,而无需改变任何软件。进一步的建模可以帮助改善特定于不同鱼类的预期运动的模板设计,以及相对于信号强度定义执行阈值的指定。

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