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HIGH FREQUENCY COHERENT ACOUSTIC COMMUNICATIONS FOR THE NETWORKED AUTONOMOUS LITTORAL SURVEILLANCE SYSTEM

机译：网络自主沿型沿型监控系统的高频相干声学通信

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The Networked Autonomous Littoral Surveillance (NetALS) system is a wireless distributed bottom mounted sensor network being developed at DRDC Atlantic. NetALS will consist of a chain of bottom mounted sensor clusters that rely on ultrasonic communications in both synchronous time division and asynchronous frequency division schemes to transfer detection statistics from relatively cheap sensor nodes to more capable cluster heads where data fusion and decision making take place. A channel estimation based decision directed (CE-DD) algorithm for phase coherent demodulation of sensor data packets has been developed. This multi-channel CE-DD receiver relies on a time recursive use of conjugate gradient iterations to support computationally reduced channel estimation and is coupled to a Levin-son recursion for composite channel adaptive equalization. The algorithm was tested on shallow water data with source depth and bandwidth constraints as well as receiver ranges and apertures being consistent with a bottom mounted sensor network. Computational reductions beyond that of Levin-son's O(M{sup}2) for adaptive filter construction lead to a slight performance degradation. Error rates for communication at 2 and 4bps/Hz are reported at ranges from 300m to 800m with receive phone signal to noise ratios between 8 and 22dB. The effect of limited aperture on the acoustic communication link is demonstrated.
机译：网络自主型沿海监控（Netals）系统是在DRDC大西洋开发的无线分布式底部安装传感器网络。 Netals将包括一系列底部安装的传感器集群，依赖于同步时分和异步频分方案中的超声通信，以从相对廉价的传感器节点传输检测统计数据，以更有能力的集群头，其中数据融合和决策发生。已经开发了一种基于信道估计的传感器数据分组相位相干解调的决策（CE-DD）算法。该多通道CE-DD接收器依赖于递归使用共轭梯度迭代以支持计算上降低的信道估计，并且耦合到用于复合信道自适应均衡的Levin-SON递归。该算法在浅水数据上测试，源深度和带宽约束以及接收器范围和孔径与底部安装的传感器网络一致。用于自适应滤波器结构的Levin-Son的O（M {SUP} 2）的计算减少导致轻微的性能下降。在2和4bps / Hz的误差率以300米至800米的范围报告，接收电话信号到8到22dB之间的噪声比率。证明了有限孔对声学通信链路的影响。

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    《Oceans - Europe》|2007年||共6页
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    Paul J. Gendron;

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