声传感器网络目标定位算法实现研究  

Research on the implementation of orientation algorithm in acoustic sensor network

作　　者：曹一涛[1] 薛安克[1] 林岳松[1] 

机构地区：[1]杭州电子科技大学信息与控制研究所,杭州310018

出　　处：《计算机工程与应用》2007年第8期164-167,共4页Computer Engineering and Applications

基　　金：国家自然科学基金(the National Natural Science Foundation of China under Grant No.60434020)

摘　　要：声传感器可以通过分析接收到的目标发出的次声波噪声得到目标的方位角和属性信息,通过对声传感器的组网,融合网内多传感器的信息,可以实现对目标定位的目的。因此定位算法及其实现技术是声传感器网络的核心技术之一。由于声传感器网络中各个探测区域具有不同的特点,首先根据声传感器网络的特点将定位算法进行了分类,提出了一种有效的算法选择机制,减少了时间延迟对于目标定位的影响。同时为了降低目标定位算法的复杂度,提高运行效率,提出了并行处理和数据存储的方案。最后通过仿真验证了方法的有效性。Using acoustic sensor,object＇s azimuth and attribution can be gained by analyzing the noise of infrasonic wave which the sensor receives from the object.By founding the network of acoustic sensors,and fusing the multi-sensors＇ information in the network,can ascertain the object＇s location.So the orientation algorithm and its implementation is one of kernel technique of the acoustic sensor network.This paper discusses the classification of orientation algorithm based on the characteristic of acoustic sensor network at first ,and then describes an effective algorithmic choosing mechanism,which can decrease the effect of time-delay to the object＇s orientation.At the same time,this paper imports a solution of parallel process and data storage,in order to reduce the complexity of object＇s orientation algorithm and improve the processing efficiency.Conclusive remarks are addressed at the end,as well as demonstrating the method＇s validity by emulating.

关 键 词：并行处理 算法选择机制 声传感器网络 

分 类 号：TP14[自动化与计算机技术—控制理论与控制工程]