Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/44935
Title: Locating a target from directional data
Authors: Li, J. 
Quek, S.A. 
Keywords: Computer simulation
Least-squares computation
Line-to-point transform
Source locating
Two-dimensional search
Issue Date: 1998
Source: Li, J.,Quek, S.A. (1998). Locating a target from directional data. Naval Research Logistics 45 (4) : 353-364. ScholarBank@NUS Repository.
Abstract: Statistical estimation plays an important role in locating a target in space, a task that has important applications in many areas. However, theoretical measures on the quality of various estimators reported in the literature have been difficult to obtain because of mathematical complications. As a result, choice of estimator in practice has been largely arbitrary. In this paper, we present a systematic study on major target estimators reported in the literature. Focus is on comparisons between the traditional angle method, the line method, and a recently developed line-to-point transformation method. Insights gained from the study directly lead to the development of a novel two-stage angle method that not only produces highly accurate target estimation among all known estimators but is also computationally efficient. © 1998 John Wiley & Sons, Inc.
Source Title: Naval Research Logistics
URI: http://scholarbank.nus.edu.sg/handle/10635/44935
ISSN: 0894069X
Appears in Collections:Staff Publications

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