基于贪婪重建的射频传感器网络稀疏目标跟踪  

Sparse target tracking in RF sensor networks based on greedy reconstruction

作　　者：宋和平[1] 王国利[2] 

机构地区：[1]江苏大学计算机科学与通信工程学院,江苏镇江212013 [2]中山大学信息科学与技术学院,广东广州510006

出　　处：《传感器与微系统》2013年第11期25-28,共4页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61074167;61202110;61170126;61272211);江苏省自然科学基金资助项目(BK2012284);江苏大学高级人才科研启动基金资助项目(12JDG050)

摘　　要：在射频传感器网络中利用接收信号强度来实现无设备运动跟踪是一种新兴技术。由于待重建的场景是稀疏的,即目标个数很少,这样可以应用压缩传感技术。提出把目标跟踪作为压缩传感的信号重建问题,并提出贪婪检测估计算法来求解目标位置。同时,设计一种利用目标先验位置信息的反馈跟踪方法来减少信号重建时所需的测量数。通过实验验证:贪婪检测估计算法可获得较好的信号重建结果,而且在目标跟踪应用中也较为精确。Device-free motion tracking in RF sensor networks using received signal strength（RSS） is an emerging technology. Since the motion scene to be reconstructed can often be assumed sparse, i. e, it consists only a few targets,the compressed sensing（CS） technology can be applied. Present target tracking as a signal reconstruction problem of CS and present greedy detection estimation （GDE） algorithm to resolve target location. Meanwhile, design a feedback tracking method which utilizes prior location informations of targets to reduce amount of measurements in signal reconstruction. Through experiment, it verifies that the GDE can obtain good result of signal construction, in addition, it is more accurate in target tracking application.

关 键 词：目标跟踪 射频传感器网络 贪婪算法 信号重建 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]