压缩感知在无线传感器网络目标跟踪中的应用

Applications of compressive sensing in target tracking of wireless sensor networks

针对无线传感器网络的目标跟踪要考虑准确性但又受到能耗约束的问题,对压缩感知理论(CS)进行研究,综述了CS理论及其关键技术,并着重介绍了CS理论在资源受限传感器网络及目标跟踪等方面的应用和发展。根据分布式无线传感器网络目标跟踪框架,通过压缩域的数据融合,解决计算与通信能耗、数据丢包问题,为提高无线传感器网络目标跟踪技术提供新思路。

In wireless sensor network （WSN） , munication, and computing across the network, target tracking requires the optimal tradeoff between accuracy, corn- because the fundamental constraint for a wireless sensor is its limit- ed power supply. To overcome these challenges, the theory and key technique of compressive sensing （CS） were reviewed, the application and development of CS in target tracking of WSN were introduced. The focus of this research, is to put forward the WSN tracking framework in the compressive measurement domain, and to show how this can further improve the inference of the events from the sensor network, such as limited computational power and data loss. This research intends to provide a new method for tracking in WSN.