多传感器网络系统基于无序估计的分布式信息融合

葛泉波; 文成林

doi:10.3724/SP.J.1146.2009.01374

多传感器网络系统基于无序估计的分布式信息融合

doi: 10.3724/SP.J.1146.2009.01374

计量
- 文章访问数: 3437
- HTML全文浏览量: 76
- PDF下载量: 797
- 被引次数: 0
出版历程
- 收稿日期: 2009-10-22
- 修回日期: 2010-04-06
- 刊出日期: 2010-07-19

Distributed Information Fusion with Out-Of-Sequence Estimates for Multisensor Network System

摘要

摘要: 无线传感器网络的局部节点往融合中心传输信息时，不确定的随机延迟易使得信息无序现象频繁发生，从而导致传统信息融合方法的应用面临诸多难题和挑战。该文以带有任意随机延迟的多传感器同步采样系统为对象，研究无序估计(Out-Of-Sequence Estimate, OOSE)信息系统的最优分布式融合问题，最终建立一种新型的通用最优OOSE融合算法。与现有基于集中式框架的无序量测融合方法相比，新算法在融合精度和算法复杂度上均具有显著优势。算法分析和计算机仿真验证了新算法的有效性和优越性。
- 数据融合; 传感器网络; 延迟; 无序量测; 无序估计
Abstract: Uncertain time-delay for transmitted information is often induced from local sensors to fusion node across wireless sensor networks with network constraints, and it easily results in the out-of-sequence phenomenon. Accordingly, the conventional information fusion methods are faced with difficulties and challenges. In this paper, the optimal distributed fusion for the Out-Of-Sequence Estimate (OOSE) information systems is studied for multisensor systems with synchronous samples and arbitrary random delay. As a result, a novel universal optimal OOSEs fusion algorithm is presented. Compared to the current Out-Of-Sequence Measurement (OOSM) fusion methods under the centralized estimate frame, the proposed OOSEs fusion algorithm has the outstanding advantages on fusion precision, algorithm complexity and computational efficiency etc... Brief analysis and simulations both show its validity and superiority.

HTML全文

参考文献(1)

Shao Kai, Zhang Hong-wei, Liang Yan, Zhang Zhi-zhong, andLuo Jiang-tao. Data fusion in wireless sensor network: Asurvey [J]. Journal of Chongqing University of Posts andTelecommunications (Nature Science), 2006, 18(1): 53-59.[2]葛泉波. 无序信息的网络融合及在舰船组合导航中的应用[D].[博士论文], 上海海事大学, 2008.Ge Quan-bo. Networked fusion with out-of-Sequenceinformation and its application in ship integrated navigation[D]. [Ph.D. dissertation], Shanghai Maritime University, 2008.[3]Bar-Shalom Y. Update with out-of-sequence measurementsin tracking: Exact solution [J].IEEE Transactions onAerospace and Electronic Systems.2002, 38(3):769-778[4]Zhou Wen-hui, Li Lin, Chen Guo-hai, and Yu An-xi.Optimality analysis of one-step OOSM filtering algorithms intarget tracking [J].Science in China Series F: InformationSciences.2007, 50(2):170-187[5]Feng Xiao-liang, Ge Quan-bo, and Wen Cheng-lin. Optimalupdate with one step out-of-sequence measurements forwireless multisensor network [C]. International Conference onWavelet Analysis and Pattern Recognition, Hong Kong, 2008:826-831.[6]Mallick M and Marrs A. Comparison of the KF and particlefilter based on Out-of-sequence measurement filteringalgorithms[C]. Proceedings of the 6th InternationalConference on Information Fusion. USA, IEEE, 2003:422-429.[7]Bar-Shalom Y, Chen H, and Mallick M. One-step solution forthe multistep Out-of-Sequence Measurement problem intracking [J].IEEE Transactions on Aerospace and ElectronicSystems.2004, 40(1):27-37[8]Bar-Shalom Y, Mallick M, and Chen H, Washburn R.One-step solution for the general Out-of-sequencemeasurements problem in tracking [C]. Proceedings of 2002IEEE Aerospace Conference. USA, IEEE, 2002, (4):1551-1559.[9]Zhang K S, Li X R, Chen H, and Mallick M. Multisensormultitarget tracking with Out-of-sequence measurements [C].Proceedings of the 6th International Conference onInformation Fusion. USA, IEEE, 2003: 672-679.[10]Zhang Ke-shu, Li X R, and Zhu Yun-min. Optimal updatewith out-of-sequence measurements [J].IEEE Transactionson Signal Processing.2005, 53(6):1992-2004[11]Shen Xiao-jing, Zhu Yun-min, Song En-bin, and LuoYing-ting. Optimal centralized update with multiple localout-of-sequence measurements [J]. IEEE Transactions onSignal Processing, 2009, 54(7): 1551-1562.[12]Eva Besada-Portas, Lopez-Orozco J A, Besada J A, and Dela Cruz J M. Multisensor out of sequence data fusion forestimating the state of discrete control systems [J]. IEEETransactions on Automatic Control, 2009, 54(7): 1728-1732.[13]Ge Quan-bo and Wen Cheng-lin. Optimal Distributed Fusionwith one step out-of-sequence estimates [J].Journal ofElectronics (China.2008, 25(4):529-538[14]Wen Cheng-lin, Ge Quan-bo, and Feng Xiao-liang. Hybridfilter with predict-estimator and compensator for the lineartime invariant delayed system [J]. Journal of Electronics(China), 2009, 26(5): 666-672.[15]张希彬, 秦超英, 高蕊. 含无序量测的多传感器信息融合算法研究[J]. 传感技术学报, 2006, 19(4): 1310-1312.Zhang Xi-bin, Qin Chao-ying, and Gao Rui. The research onmulti-sensor information fusion with out-of-sequencemeasurements [J]. Chinese Journal of Sensors and Actuators,2006, 19(4): 1310-1312.

施引文献

资源附件(0)

访问统计