Biased Time-of-Arrival-based Location Dominating Linear-Least-Squares Estimation

摘要：

Determining the location of a mobile station (MS) is a fundamental problem in many applications. In this paper, three algorithms are discussed for accurate mobile location using the time-of-arrival (TOA) measurements. First, we describe the general linear least squares (LLS) approach which is unbiased. Then based on biased estimation theory we propose two bias methods-the minimax trace MSE (MXTM) and minimax matrix MSE (MXMM). By comparing the mean squared error (MSE), we analyze the localization accuracy of the three algorithms. Theoretical analysis and simulation reveal that in the prior range of the MS, at the expense of bias error the MXTM approach dominates LLS in trace MSE and the MXMM method can dominate LLS in terms of both trace and componentwise MSE.

关键词： localization Time-of-Arrival biased estimation linear least squares dominate

作者: Zhigang Lu Xiao Zhang Qun Wan

作者单位: Electronic Engineering Department University of Electronic Science and Technology of China Chengdu, P.R.China

会议类型: 国际会议

会议名称: 2010 2nd International Conference on Signal Processing System(2010年信号处理系统国际会议 ICSPS 2010)

会议地点: 大连

会议语种:英文

页码: 1153-1156

在线出版日期: 2010-07-05（万方平台首次上网日期，不代表论文的发表时间）