Multi-Sensor Passive Localization Based on Sensor Selection

被引:1
作者
Ma, Wen [1 ]
Zhu, Hongyan [1 ]
Lin, Yan [1 ]
机构
[1] Xi An Jiao Tong Univ, Sch Elect & Informat Engn, Xian 710049, Peoples R China
来源
2019 22ND INTERNATIONAL CONFERENCE ON INFORMATION FUSION (FUSION 2019) | 2019年
关键词
passive localization; sensor selection; CEO (cross entropy optimization); GDOP (geometric dilution of precision); LOCATION; TDOA;
D O I
10.23919/fusion43075.2019.9011312
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In passive localization applications, the positioning accuracy for an emitter is highly dependent on the geometry between sensors and the target, the site error and measurement noise of sensors. We propose a sensor selection mechanism which aims to choose a subset of sensors to implement the multi-sensor passive localization. An optimization model is established by minimizing the GDOP (geometric dilution of precision), with or without the constraint on the cardinality of the selected sensor subset. The CEO (cross entropy optimization) is employed to solve the resulting complex combinatorial optimization model. Simulation experiments are conducted and simulation results demonstrate the efficiency of the proposed sensor selection scheme for multi-sensor passive localization.
引用
收藏
页数:8
相关论文
共 15 条