期刊文献+

二元传感器网络目标定位与跟踪算法研究

Target Location and Tracking with Binary Sensor Network
在线阅读 下载PDF
导出
摘要 目标定位与跟踪是无线传感器网络的一个重要应用方向,传感器的通信带宽和能量资源有限使传统的位置测量传感器的应用受到了限制,因此二元探测传感器网络是一个很好的选择。论文主要对二元传感器网络下质心算法和递推质心算法进行了研究。计算机仿真结果表明,递推质心算法在精度与质心算法相同的情况下能够减少计算量,因此更适用于传感器网络目标定位与跟踪。 Target localization and tracking are two important applications of wireless sensor networks. Conventional position measuring sensors are restricted in this applicaton because of limited communication bandwidth and energy resource of sensors. Binary sensor network is a good choice. In the paper, centroid algorith and recursive centroid algorithm in binary sensor network are studied. Simulation results show that the recursive centroid algorithm can reduce computation and is more appropriate in target loaeting and tracking by networks of sensor.
出处 《计算机与数字工程》 2013年第6期880-881,992,共3页 Computer & Digital Engineering
关键词 传感器网络 二元传感器 目标跟踪 质心算法 sensor networks bianry sensor target tracking centroid algorith
  • 相关文献

参考文献7

  • 1Li D, Wong K D, Hu Y H, et al. Detection, Classification, and Tracking of Targets[J]. IEEE Signal Processing Magazine (S1053-5888), 2002,3 : 17-29.
  • 2Kim W, Mechitov K, Choi J Y, et al. On Target Tracking with Binary Proximity Sensors[C]//Proceedings of 4th International Conference on Information Processing in Sensor Networks,2005:301-308.
  • 3Mechitov K, Sundresh S, Kwon Y, et al. Cooperative Track ing with Binary Detection Sensor Networks[C]//Proceedings of 1st International Conference on Embedded Networked Sen sor Systems, New York, USA, 2003.. 332-333.
  • 4Aslam J, Butler Z, Constantin F, et al. Tracking a moving object with a binary sensor network[C]//Proeeedings of the 1st international conference on Embedded networked sensor systems, New York, USA,2003:150-161.
  • 5Djuric P M, Vemula M, Bugallo M F. Target Tracking by Particle Filtering in Binary Sensor Networks[J]. IEEE Transactions on Signal Processing, 2008,56 (6): 2229-2238.
  • 6李煜,程远国,杨露菁.一种二元探测传感器网络目标跟踪算法[J].传感技术学报,2008,21(11):1900-1904. 被引量:3
  • 7LIU Danyang, LIU Xuanhuang. Optimal State Estimation Without the Requirement of a Priori Statistics Information of the Initial State[J]. IEEE Transactions on Automatic Control, 1994,39(10) :2087-2091.

二级参考文献12

  • 1李辉,张安,沈莹,程琤.神经网络在多机动目标跟踪中的应用[J].传感技术学报,2006,19(6):2563-2566. 被引量:2
  • 2申兴发,李鸿斌,赵军,王智,孙优贤.面向目标跟踪的传感器网络分布式组管理机制[J].仪器仪表学报,2007,28(6):966-972. 被引量:11
  • 3Liu J, Reich J, Zhao F. Collaborative In-Network Processing for Target tracking[J]. Journal on Applied Signal Processing, 2003, (4) :378-91.
  • 4Guo D, Wang X. Dynamic Sensor Collaboration Via Sequential Monte Carlo[J]. IEEE Journal on Selected Areas in Communications, 2004, 22 (6):1037-047.
  • 5Mcerlean D and Narayanan S. Distributed Detection and Tracking in Sensor Networks[C]// Proceedings of 36th Asilomar Conference on Signals, Systems and Computers, 2002,2 : 1174-178.
  • 6Li D, Wong K, Hu Y, et al. Detection, Classification and Tracking of Targets in Distributed Sensor Networks[J]. IEEE Signal Processing Magazine, 2002,19(2) : 17-9.
  • 7Zhao F, Shin J, Reich J. Information-riven Dynamic Sensor Collaboration for Tracking Applications[J]. IEEE Signal Processing Magazine, 2002,19(2) : 61-2.
  • 8Aslam A, Butler Z, Constantin F, et al. Tracking a Moving Object with a Binary Sensor Network[C]//Proceedings of the First International Conference on Embedded Networked Sensor Systems (SenSys'03). Los Angeles : ACM Press, 2003: 150-62.
  • 9Kim W, Mechitov K, Choi J Y, et al. On Target Tracking with Binary Proximity Sensors[C]//Proceedings of Fourth International Conference on Information Processing in Sensor Networks (IPSN), 2005,301-08.
  • 10Mechitov K, Sundresh S, Kwon Y, et al. Cooperative Track ing with Binary Detection Sensor Networks[C]// Proceedings of the First International Conference on Embedded Networked Sensor Systems (SenSys' 03). Los Angeles: ACM Press, 2003:332-33.

共引文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部