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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 directly affects the practical application value of wireless sensor. The information collected by sensor nodes is quite large, and the efficiency of target positioning is low. In order to improve the accuracy of multi-target positioning and speed up the speed of target positioning, a target localization method of sensor based on compressed sensing . Firstly, the target area to be positioned is meshed, and then the measurement matrix of the target location is obtained according to the number of anchor nodes and the communication radius in the area. Compressive sensing reconstruction algorithm is used to determine the target position through the measurement matrix. Finally, Matlab 2012 is used to simulate analysis. The results show that, compared with other sensor target location methods, the compressed sensing reconstruction algorithm can reduce the positioning time and improve the positioning efficiency, and the positioning accuracy meets the actual requirements.