Open Access
| Issue |
MATEC Web Conf.
Volume 189, 2018
2018 2nd International Conference on Material Engineering and Advanced Manufacturing Technology (MEAMT 2018)
|
|
|---|---|---|
| Article Number | 04006 | |
| Number of page(s) | 9 | |
| Section | Circuit Analysis | |
| DOI | https://doi.org/10.1051/matecconf/201818904006 | |
| Published online | 10 August 2018 | |
- Ramanarayanan Viswanathan, Pramod K. Varshney. Distributed Detection With Multiple Sensors: Part I—Fundamentals [J]Proceedings of the IEEE,1997 85(1),54-63 [CrossRef] [Google Scholar]
- Mahesh K. Banavar, Anthony D. Smith, Cihan Tepedelenlioglu, Andreas Spanias. On the Effectiveness of Multiple Antennas in Distributed Detection over Fading MACs. [J]. IEEE Transactions on Wireless Communications,2012, 11(5): 1744-1452 [CrossRef] [Google Scholar]
- Alla Tarighati, James Grossy, Joakim Jalden. Decentralized Hypothesis Testing in Energy Harvesting Wireless Sensor Networks [J] IEEE Transactions on signal processing,2017, 65(18): 4862-4873 [CrossRef] [Google Scholar]
- Hang Rao, Xiaojing Shen, Yunmin Zhu and Jianxin Pan. Distributed Detection Fusion via Monte Carlo Importance Sampling[C] Chinese Control Conference. 2016: 4830-4835 [Google Scholar]
- Y Li, DK Jha, A Ray, TA Wettergren. Information Fusion of passive sensors for detection of moving targets in Dynamic environments [J] IEEE Transactions on Cybernetics, 2016,47(1):93-104. [CrossRef] [Google Scholar]
- D. Ciuonzo, P. Salvo Rossi. Decision Fusion with Unknown Sensor Detection Probability.[J] IEEE Signal Processing Letters 2014,21(2):208-212 [CrossRef] [Google Scholar]
- D. Ciuonzo, P. Salvo Rossi, P. Willett. Generalized Rao Test for Decentralized Detection of an Uncooperative Target[J] IEEE Signal Processing Letters, 2017,24(5):678-682. [CrossRef] [Google Scholar]
- Hong-Yan Zhao, Jun Liu, Zi-Jing Zhang, Hongwei Liu, Shenghua Zhou. Linear Fusion for Target Detection in Passive Multistatic Radar[J] Signal Processing,2016, 130©:175-182. [Google Scholar]
- HU Qinzhen SU Hongtao ZHOU Shenghua LIU Ziwe. Double Threshold CFAR Detection for Multisite Radar. [J] Journal of Electronics& Information Technology, 2016,38(10):2430-2436, Chinese. [Google Scholar]
- Ishrat Maherin, Qilian Liang. Multistep Information Fusion for Target Detection Using UWB Radar Sensor Network[J] IEEE Sensors Journal, 2015,15(10):5927-5937. [CrossRef] [Google Scholar]
- Aleksandar Jeremič, Kon Max Wong, Bin Liu. Optimal Distributed Detection of Multiple Hypotheses using Blind Algorithm[C]Conference Paper in IEEE Transactions on Aerospace and Electronic Systems, 2009,47(1):317-331. [Google Scholar]
- Sungho Kim. High-Speed Incoming Infrared Target Detection by Fusion of Spatial and Temporal Detectors [J]Sensors 2015, 15(4): 7267 -7293. [CrossRef] [Google Scholar]
- Guoliang Zhang, Chunling Yang, Yan Zhanga, Yang Jiao. A Novel Approach based on Spectral-Temporal Information Fusion for Multi-Target Detection[C] IEEE 11th Conference on Industrial Electronics and Applications (ICIEA) 2016:1661-1665. [Google Scholar]
- Jing Ni, Jie Mei. A Fusion Algorithm for Target Detection in Distributed Sensor Networks[C] Sixth International Conference on Computational Intelligence and Communication Networks, 2014:349-353 [Google Scholar]
- Wee Peng Tay. The Value of Feedback in Decentralized Detection.[J] IEEE Transactions on information theory, 2012, 58(12):7226-7239 [CrossRef] [Google Scholar]
- Alla Tarighati, Joakim Jalden. Rate Allocation for Decentralized Detection in Wireless Sensor Networks[C] IEEE International Workshop on Signal Processing Advances in wireless Communication, 2015,7405(s 1-3):479-487. [Google Scholar]
- Edmond Nurellari, Sami Aldalahmeh, Mounir Ghogho, Des McLernon. Quantized Fusion Rules for Energy-Based Distributed Detection in Wireless Sensor Networks [C] sensor signal processing for defence, 2014:1-5. [Google Scholar]
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