Modeling Acoustic Telemetry Detection Ranges in a Shallow Coastal Environment
Modeling Acoustic Telemetry Detection Ranges in a Shallow Coastal Environment
复制标题
浅海环境中的声学遥测探测范围建模
DOI：
10.1145/3491315.3491331
复制
发表时间：
2021
期刊：
影响因子：
--
通讯作者：
R. Edwards, Catherine
中科院分区：
文献类型：
--
作者：
McQuarrie, Frank;Brock Woodson, Clifton;R. Edwards, Catherine
声遥测是监测水下环境和栖息地的一种流行方法，但了解接收器在可变条件下的探测范围和效率可以提供比单独探测更大的优势。接收器可以连接或集成到自主水下航行器（auv）中，在收集环境数据的同时，为遥测网络提供广泛的空间覆盖。计算出的声速和接收到的ping信号相结合，可以估计出由于环境条件的变化而导致的探测效率的变化，从而使水下网络用户能够更好地量化可靠探测的范围。2019年和2020年，部署在乔治亚州内层大陆架上的16台系泊遥测仪器上的Slocum滑翔机的数据表明，探测效率和范围随季节而变化。采用射线追踪的光束密度分析是一种新的方法，它将探测概率量化为距离的函数，模拟声速变化和使用同一位置的温度和盐度测量的传播。通过模型分布与观测分布的比较，验证了该方法的有效性，表明光束密度分析是一种有前途的实时远程估计检测效率的方法。这种实时能力可以在机器人声学遥测网络的设计和实现中通过自适应采样加以利用。
Acoustic telemetry is a popular way of monitoring underwater environments and habitats, but an understanding of the detection range and efficiency of the receivers in variable conditions can provide a significant advantage over the detections alone. Receivers can be attached or integrated into autonomous underwater vehicles (AUVs) allowing wide spatial coverage for telemetry networks while collecting environmental data. The integration of calculated sound speeds and received pings gives an estimation of variation in detection efficiency due to changes in environmental conditions, allowing underwater network users to better quantify the range of reliable detection. Data from a Slocum glider deployed over an array of 16 moored telemetry instruments on the inner shelf off Georgia in 2019 and 2020 indicate that detection efficiency and range vary seasonally. Beam density analysis using ray tracing is proposed as a novel approach that quantifies probability of detection as a function of range, modeling sound speed variability and propagation using co-located temperature and salinity measurements. This approach is validated through comparison of modeled to observed distributions, which suggests that beam density analysis is a promising method to remotely estimate detection efficiency in real time. This real time capability can be leveraged through adaptive sampling in the design and implementation of robotic acoustic telemetry networks.
近距离检测对声学遥测的干扰：在低环境噪声环境中考虑标签功率输出的重要性
影响因子：
2.7
作者：
S. Kessel;N. Hussey;D. Webber;S. Gruber;Joy M Young;M. Smale;A. Fisk
通讯作者：
A. Fisk
声音在水平不均匀、随时间变化的海洋中的折射
影响因子：
4.1
作者：
O. Godin;V. Zavorotny;A. Voronovich;V. Goncharov
通讯作者：
V. Goncharov
DOI：
--
发表时间：
2021
期刊：
影响因子：
--
作者：
M. Kendall;B. L. Williams;R. D. Ellis;Kerry E. Flaherty;A. Collins;K. Roberson
通讯作者：
K. Roberson