2010 IEEE Aerospace Conference 2010
DOI: 10.1109/aero.2010.5446910
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Carrier phase GNSS attitude determination with the Multivariate Constrained LAMBDA method

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Cited by 44 publications
(37 citation statements)
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“…The MC-LAMBDA includes the whole set of nonlinear geometrical constraints in the ambiguity objective function. The results of testing the method indicate a dramatic improvement in the single-epoch/single-frequency success rate as well as a drastic reduction in the time-to-fix compared to its unconstrained counterpart (Giorgi and Teunissen, 2010;Giorgi et al, 2010a). However, owing to the nonlinear nature of the given constraints, the search algorithm would be inherently complex.…”
Section: Introductionmentioning
confidence: 91%
“…The MC-LAMBDA includes the whole set of nonlinear geometrical constraints in the ambiguity objective function. The results of testing the method indicate a dramatic improvement in the single-epoch/single-frequency success rate as well as a drastic reduction in the time-to-fix compared to its unconstrained counterpart (Giorgi and Teunissen, 2010;Giorgi et al, 2010a). However, owing to the nonlinear nature of the given constraints, the search algorithm would be inherently complex.…”
Section: Introductionmentioning
confidence: 91%
“…In principle, the search can proceed by means of an extensive search within the set The choice of the scalar χ is now more complicated, due to the large weighting given to the last term in (19) by the matrices QR t(Z) : these are driven by the higher precision of the carrier phase observations, and largely amplify the value assumed by the cost function C(Z) for any uncorrect ambiguity matrix Z , resulting in very large search spaces Ω c χ 2 = C(Z ) . Moreover, the computation of C(Z) involves the solution of K constrained least-squares problems (20), increasing the computational load when it has to be done for many candidates in Ω c χ 2 . Two different approaches that overcome both the problems of setting the proper size for the search space and the repetitive computation of (20) have been developed, namely the Expansion [18]- [20] approach and the Search and Shrink approach [20]- [23].…”
Section: B the Ils Solutionmentioning
confidence: 99%
“…), and for manned aircraft [5][6][7][8] and ship applications [9]. Due to the low volume/ weight of current carrier-phase GNSS receivers, and the extremely high accuracy attainable notwithstanding their lower cost, interferometric GNSS technology is becoming an excellent candidate for future UAV applications [10]. The accuracy of the GNSS Attitude Determination (GAD) systems is affected by several factors including the selected equipment/algorithms and the specific platform installation geometry, with the baseline length and multipath errors being the key elements dominating GAD systems performance [10][11][12] developed an extension of the known Least-squares Ambiguity Decorrelation Adjustment (LAMBDA) method [13] for solving nonlinearly constrained ambiguity resolution problems associated to GNSS attitude determination.…”
Section: Introductionmentioning
confidence: 99%
“…One of the main challenges of implementing GAD systems for attitude determination in UAV and other aerospace platforms is the need of resolving integer ambiguity in real-time in order to obtain reliable attitude estimations [10]. In recent years several techniques have been developed for integer ambiguity resolution.…”
Section: Introductionmentioning
confidence: 99%
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