Abstract:

In order to improve the sensing ability of sensor nodes to acoustic events under environmental noise interference,a fixed time window cumulative sum method is proposed based on the maximum likelihood cumulative algorithm.The influence law of quaternary positioning parameters on the positioning accuracy is analyzed.According to the principle of achieving the maximum circumradius and most appropriate reference angle, the most reasonable node combination is selected from the sensor nodes that sense the acoustic event, and the positioning result is obtained through multiple iterations. Simulation results show that compared with the existing distributed positioning method, the positioning accuracy of this method is improved by about 30%.

Key words: Wireless Sensor Network(WSN), acoustic positioning, positioning accuracy, cumulative sum algorithm, multiple iterations positioning

摘要：

为提升传感器节点在环境噪声干扰下对声事件的感知能力，在最大似然累加和算法的基础上，提出固定时窗累加和方法。分析四元定位阵形参数对定位精度的影响规律，根据外接圆半径最大和参考夹角最相符原则，从感知到声事件的传感器节点中选出位置最合理的节点组合，通过多次迭代得到定位结果。仿真结果表明，与现有分布式定位方法相比，该方法的定位精度提高约30%。

关键词: 无线传感器网络, 声定位, 定位精度, 累加和算法, 多次迭代定位

CLC Number: 

• TP393