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A New method of Doppler Shift Passive Localization for Moving Target Based on Multi-nodes

机译:基于多节点的移动目标移动目标多普勒换档被动定位的新方法

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Real-time localization of underwater moving target is an interesting topic in passive sonar detection in underwater sensor networks. Classically, match field processing or Target Moving Analysis (TMA) is used to do this task. As sensor network develops, localization methodology based on multi-nodes is becoming a research focus. Because the underwater sensor networks usually have a narrow communication bandwidth, localization algorithms that require less communication is needed. This paper proposes a moving target status estimation algorithm based on the fact that signals received by nodes with different positions take on different Doppler shift. Theoretical analysis and numerical simulation results indicate that this algorithm can obtain the position, velocity and line spectrum of the moving target, and is insensitive to acceleration and line spectrum shift. In addition, this algorithm only needs to know the line spectrum of every sensor node received, there is no need to transmit all the original sampling data, so the communication bandwidth required is not so much and it is suitable for underwater sensor network usage.
机译:水下移动目标的实时定位是在水下传感器网络中被动​​声纳检测中的一个有趣的话题。经典地,匹配场处理或目标移动分析(TMA)用于执行此任务。随着传感器网络的发展,基于多节点的本地化方法正在成为研究焦点。因为水下传感器网络通常具有窄通信带宽,所以需要较少通信的本地化算法。本文提出了一种基于具有不同位置的节点接收的信号的移动目标状态估计算法,采用不同的多普勒偏移。理论分析和数值模拟结果表明,该算法可以获得移动目标的位置,速度和线谱,并且对加速和线谱移位不敏感。另外,该算法仅需要知道所接收的每个传感器节点的线宽,不需要传输所有原始采样数据,因此所需的通信带宽不是如此多,并且适用于水下传感器网络使用。

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