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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

Imperial College London : A - Electrical and Electronic engineering

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Output 20 of 176 in the submission

Article title

A Semidefinite Relaxation-Based Algorithm for Robust Attitude Estimation

Type

D - Journal article

DOI

10.1109/TSP.2012.2198820

Title of journal

IEEE Transactions on Signal Processing

Article number

Volume number

Issue number

First page of article

3942

ISSN of journal

1053-587X

Year of publication

2012

URL

Number of additional authors

Additional information

Attitude estimation problems involving large data uncertainties, such as arise in satellite, aerospace and computer vision applications, can be formulated as versions of the classical Procrustes problem. This paper, in the leading signal processing journal, is the first to provide a solution to this challenging, non-convex problem, based on semi-definite relaxation. The solution provided is numerically tractable since it involves the solution of a related convex optimization optimization problem, and, significantly, is one of the few relaxation approaches which provide exact solutions under a wide class of data uncertainties.

Interdisciplinary

Cross-referral requested

Research group

A - Control and Power

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract