Bias Estimation for Multiple Passive Sensors

摘要：

In this paper, we propose a novel registration algorithm for bias estimation in multiple passive sensors. The decoupling between the target state estimation and sensor bias estimation is achieved by cross location technique. The Monte Carlo simulation results show that this method is statistically efficient for bias estimation and can improve the fusion precision remarkably, e.g. it is close to CRLB.

关键词： sensors registration passive tracking bias estimation data fusion

作者: Hui Chen Feng Lian

作者单位: School of Electrical and Information Engineering Lanzhou University of Technology Lanzhou, China Sch School of Electronic and Information Engineering Xian Jiaotong University Xian, China

会议类型: 国际会议

会议名称: 2012 International Conference on Measurement,Information and Control(2012测量、信息与控制国际会议 ICMIC2012)

会议地点: 哈尔滨

会议语种:英文

页码: 1058-1061

在线出版日期: 2012-05-18（万方平台首次上网日期，不代表论文的发表时间）