Multidimensional scaling‐based passive emitter localisation from time difference of arrival measurements with sensor position uncertainties. Issue 1 (1st February 2017)

• Record Type: Journal Article
• Authors: Cao, Jingmin; Wan, Qun; Ouyang, Xinxin; Ahmed, Hesham I.
• Is Part Of: IET signal processing. Volume 11:Issue 1(2017)
• Page Start: 43
• Page End: 50
• Publication Date: 2017-02-01
• Subjects: sensors -- position measurement -- measurement uncertainty -- estimation theory -- mean square error methods -- least squares approximations -- computational complexity; multidimensional scaling‐based passive emitter localisation -- time difference of arrival measurement -- sensor position estimation uncertainty -- weighted multidimensional scaling estimator -- MDS estimator -- stationary emitter -- Cramer‐Rao lower bound -- mean square error approach -- two‐step weighted least square approach -- computational complexity; Signal processing -- Periodicals; 621.3822
• DOI: 10.1049/iet-spr.2015.0567
• Languages: English
• ISSNs: 1751-9675

Abstract

Abstract : This paper proposed a novel weighted multidimensional scaling (MDS) estimator for estimating the position of a stationary emitter with sensor position uncertainties using time‐difference‐of‐arrival measurements. The solution is closed form and unbiased. It is shown analytically to achieve the Cramer–Rao lower bound performance in small noise region. Simulation results show that the proposed estimator offers smaller bias and mean square error than the two‐step weighted least square approach and traditional MDS estimator ignoring sensor position uncertainties at moderate noise level. Additionally, the computation complexities of them are comparable.