Robustified Estimators of Radar Elevation Angle Using a Specular Multipath Model

We consider the problem of estimating the elevation angle in the presence of multipath. The proposed method belongs to the class of maximum-likelihood-like estimators and employs a modified specular reflection model that accounts for the uncertainty of the steering vector by assuming that they are s...

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Bibliographic Details
Published inIEEE transactions on aerospace and electronic systems Vol. 56; no. 2; pp. 1623 - 1636
Main Authors Meller, Michal, Stawiarski, Kamil
Format Journal Article
LanguageEnglish
Published New York IEEE 01.04.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Computational geometry
Computational modeling
Computer simulation
Convexity
Elevation angle
Low-angle estimation
Maximum likelihood estimation
Maximum likelihood estimators
multipath
Norms
Optimization
radar
Radar antennas
Radar tracking
robust estimation
Spatial resolution
Specular reflection
Steering
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Summary:We consider the problem of estimating the elevation angle in the presence of multipath. The proposed method belongs to the class of maximum-likelihood-like estimators and employs a modified specular reflection model that accounts for the uncertainty of the steering vector by assuming that they are subject to unknown deterministic perturbations with bounded norms. The analysis, performed using convex optimization methods, allows us to obtain computationally efficient implementations of the approach. Real-world results and computer simulations confirm the improved behavior of the proposed robustified estimators.
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content type line 14
ISSN:0018-9251
1557-9603
DOI:10.1109/TAES.2019.2927906