Conical Angle Localization: A Linear Solution

Although linear arrays cannot measure elevation and azimuth in 3-D, they can still be used to localize an emitter in 3-D by measuring conical angles (CA). A CA is the angle between an array's longitudinal axis and the line connecting the array reference to the emitter, establishing a conical surface on which the emitter lies. Localizing the emitter involves finding the intersection of these cones, a nonlinear problem that typically requires complex computations or restricts array placement. This correspondence introduces a method that uses pairs of linear arrays, sharing a common reference, and provides a two-stage weighted linear least squares closed-form solution. The proposed estimator is shown to be optimal at reasonable noise levels, as demonstrated by simulation results.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Aerospace and Electronic Systems
Published
2025-05-05
DOI
https://doi.org/10.1109/taes.2025.3565237
Citations
1
Primary Topic
Advanced Measurement and Metrology Techniques
Type
article
Field-Weighted Citation Impact
0.71
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Conical Angle Localization: A Linear Solution

Y.T. Chan, L.G Gadbois, François Chan, William J. Read
1 citations
IEEE Transactions on Aerospace and Electronic Systems
Advanced Measurement and Metrology Techniques
0.71
article

Conical Angle Localization: A Linear Solution

Y.T. Chan, L.G Gadbois, François Chan, William J. Read
article en
1 citations

Abstract

Although linear arrays cannot measure elevation and azimuth in 3-D, they can still be used to localize an emitter in 3-D by measuring conical angles (CA). A CA is the angle between an array's longitudinal axis and the line connecting the array reference to the emitter, establishing a conical surface on which the emitter lies. Localizing the emitter involves finding the intersection of these cones, a nonlinear problem that typically requires complex computations or restricts array placement. This correspondence introduces a method that uses pairs of linear arrays, sharing a common reference, and provides a two-stage weighted linear least squares closed-form solution. The proposed estimator is shown to be optimal at reasonable noise levels, as demonstrated by simulation results.

IEEE Transactions on Aerospace and Electronic SystemsVol. 61(4)
Defence Research and Development Canada (CA), Royal Military College of Canada (CA)
Openalex Percentile: Top 33%
Advanced Measurement and Metrology Techniques
0.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.