摘要
位置信息直接影响无线传感器的实际应用价值,传感器节点采集的信息量相当大,目标定位工作效率低,为了提高多目标的定位精度,加快目标定位的速度,提出压缩感知重构的传感器目标定位方法。首先对待定位的目标区域进行网格划分,然后根据区域中的锚节点数目和通信半径得到目标定位的测量矩阵,并采用压缩感知重构算法通过测量矩阵确定目标的位置,最后利用Matlab 2012进行仿真分析。结果表明,与其它传感器目标定位方法相比,压缩感知重构算法减少了定位的时间,提高了定位有效率,而且定位精度满足实际要求。
Location information has a direct impact on the value of the practical application of the wireless sensor, the sensor nodes collection of a large amount of information, target localization work efficiency low, in order to improve the accuracy of the positioning of the multi-objective, accelerate the positioning of target speed l compressed sensing reconstruction of sensor target localization method is proposed. First treats the positioning of the target area mesh, then target location measurement matrix are obtained according to the region in the number of anchor nodes and communication radius, and the compressed sensing reconstruction algorithm by measuring the matrix determine the target location. Finally, we use matlab 2012 simulation analysis. The results show that, compared with other sensor target localization methods, the compressed sensing reconstruction algorithm reduces the positioning time, improves the positioning efficiency, and the positioning accuracy can meet the actual requirements.
出处
《激光杂志》
北大核心
2016年第11期128-131,共4页
Laser Journal
基金
河北省自然科学基金资助项目(F2011203117)
关键词
无线传感器
目标定位
压缩感理论
信息重构
wireless sensor
target localization
compressive sensing theory
information reconstruction
