Computer Science ›› 2017, Vol. 44 ›› Issue (Z6): 248-251.doi: 10.11896/j.issn.1002-137X.2017.6A.057

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Multi-sensors Direction-and-Time Co-localization Algorithm Based on Efficient Anchor-nodes

XIA Xiao-dong, ZHUANG Yi, LI Jing and GU Jing-jing   

  • Online:2017-12-01 Published:2018-12-01

Abstract: In this paper,we proposed an efficient anchor node selection (EAS) model for the problem of low precision,high delay and low coverage in the field of electronic countermeasure.According to the environment of sensor nodes,the model can choose the effective anchor nodes to participate in the target location.To improve the classical localization algorithm that is based on independent data,we proposed a multi-sensors direction-and-time co-localization algorithm based on efficient anchor-nodes (LDTEAS).This algorithm can effectively reduce the influence of the environment and the enemy’s interference.Simulation results show that the proposed model can effectively improve the localization accuracy and localization coverage.

Key words: Multi-sensors,Algorithm,Efficient anchor-nodes,Direction-and-time co-localization

[1] CHEN R J,CHOI H C,BANGSARUNTIP S,et al.An investigation of the mechanisms of electronic sensing of protein adsorption on carbon nanotube devices[J].Journal of the American Chemical Society,2004,126(5):1563-1568.
[2] SCHUMACHER C,CHANDLER P,PACHTER M,et al.UAV task assignment with timing constraints via mixed-integer linear programming[M].Defense Technical Information Center,2004.
[3] 钱宇.无线传感器网络的传感器定位及其在军事上的应用 [D].杭州:浙江大学,2006.
[4] ALAVI B,PAHLAVAN K.Modeling of the TOA-based distance measurement error using UWB indoor radio measurements [J].IEEE Communications Letters,2010,10(4):275-277.
[5] WENG Y,XIAO W,XIE L.Total Least Squares Method for Robust Source Localization in Sensor Networks Using TDOA Measurements [J].International Journal of Distributed Sensor Networks,2011,2011(3):1063-1067.
[6] KAPLAN L M,LE Q,MOLNAR N.Maximum likelihood me-thods for bearings-only target localization[C]∥Proceedings of the IEEE International Conference on Acoustics,Speech,and Signal Processing,2001 Proceedings.2001.
[7] LU K,XIANG X,ZHANG D,et al.Localization Algorithm Basedon Maximum a Posteriori in Wireless Sensor Networks [J].International Journal of Distributed Sensor Networks,2012,2012(1550-1329):100-107.
[8] LEE J,NA Y K,KIM S,et al.Joint AOA/RSSI based multi-user location system for military mobile base-station[C]∥Procee-dings of the Military Communications Conference.2008.
[9] HE T,HUANG C,BLUM B M,et al.Range-free localizationschemes for large scale sensor networks[C]∥Proceedings of the International Conference on Mobile Computing and Networking.2003.
[10] LIU C,WU K,HE T.Sensor localization with Ring Overlapping based on Comparison of Received Signal Strength Indicator[C]∥Proceedings of the IEEE International Conference on Mobile Ad-Hoc and Sensor Systems.2004.
[11] 王珊珊.基于RSSI的无线传感器网络定位算法研究 [D].长沙:国防科学技术大学,2007.
[12] 熊志广.基于RSSI的无线传感器网络定位算法研究及应用 [D].重庆:重庆大学,2010.
[13] BARSOCCHI P,LENZI S,CHESSA S,et al.A Novel Approach to Indoor RSSI Localization by Automatic Calibration of the Wireless Propagation Model [C]∥Vehicular Technology Conference.2009:1-5.
[14] ZHENG J,WU C,CHU H,et al.Localization Algorithm Based on RSSI and Distance Geometry Constrain for Wireless Sensor Network[C]∥Proceedings of the International Conference on Electrical and Control Engineering.2010.
[15] FRAIHA S G C,RODRIGUES J C,BARBOSA R N S,et al.Anempirical model for propagation-loss prediction in indoor mobile communications using the Padé approximant [J].Microwave & Optical Technology Letters,2006,48(2):255-261.
[16] KYRCHEI I I.Cramer’s rule for some quaternion matrix equations [J].Applied Mathematics & Computation,2010,217(5):2024-2030.

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