基于流动噪声干扰消除的水坝传感信号定位

发布时间：2018-06-23 04:24

  本文选题：传感信号定位 + 复杂流动噪声　； 参考：《计算机工程与设计》2017年06期

【摘要】：为解决水坝传感网系统部署过程中无法消除复杂流动噪声,导致其难以快速定位故障发生地点的不足,提出基于复杂流动噪声干扰消除机制的水坝传感信号定位算法。通过对接收信号进行时域傅氏变换,降低流动性噪声对传感信号的分段混沌影响,提高网络对信号定位的敏感度。通过多径传输机制,针对可能发生的频率偏移进行参数估计,降低峰值噪声信号对传感信号的渗透影响,提高传感网络对定位信号的捕获精确度,根据噪声分布的统计特征,构建虚拟预警机制,提高传感网络对弱定位信号的捕获检测率,降低定位误差度。仿真结果表明,与Pre-GPS算法及Plus-GPS算法相比,所提算法具有更高的定位精度,且捕获过程中的虚拟预警效率更高。
[Abstract]:In order to solve the problem that complex flow noise can not be eliminated in the deployment of dam sensor network system, it is difficult to locate the fault location quickly. A dam sensor signal localization algorithm based on the mechanism of complex flow noise interference cancellation is proposed. By using time-domain Fourier transform (TFT) of the received signal, the influence of the fluidity noise on the segmental chaos of the sensor signal is reduced, and the sensitivity of the network to the signal location is improved. Based on the multipath transmission mechanism, the parameter estimation of the possible frequency offset is carried out to reduce the influence of peak noise signal on the sensor signal, and to improve the precision of the sensor network to capture the location signal. According to the statistical characteristics of the noise distribution, The virtual early warning mechanism is constructed to improve the detection rate of weak location signal and reduce the error of location in sensor network. The simulation results show that compared with Pre-GPS algorithm and Plus-GPS algorithm, the proposed algorithm has higher positioning accuracy and higher efficiency of virtual early warning in the acquisition process.
【作者单位】： 河南工程学院计算机学院;
【基金】：国家863高技术研究发展计划基金项目(2012AA101008) 河南省高等学校重点科研项目应用研究计划基金项目(16B520007)
【分类号】：TP212.9;TV698.1
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本文编号：2055757