2020
DOI: 10.1109/tsp.2019.2957639
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A Novel Algorithm for Optimal Placement of Multiple Inertial Sensors to Improve the Sensing Accuracy

Abstract: This paper proposes a novel algorithm to determine the optimal placement of redundant inertial sensors such as accelerometers and gyroscopes (gyros) for increasing the sensing accuracy. In this paper, we have proposed a novel iterative algorithm to find the optimal sensor configuration. The proposed algorithm utilizes the majorization-minimization (MM) algorithm and the duality principle to find the optimal configuration. Unlike the state-of-the-art which are mainly geometrical in nature and restricted to cert… Show more

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Cited by 18 publications
(16 citation statements)
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References 16 publications
(26 reference statements)
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“…If there exists some (ε * , η * ) ∈ S 1 × S 2 , satisfying Formula ( 14), then (ε * , η * ) is the Nash equilibrium solution of the gain matrix, and Λ(ε * , η * ) is the value of the gain matrix in the sense of hybrid strategy [36][37][38].…”
Section: Calculation Of the Nash Equilibrium Solution Of The Damage G...mentioning
confidence: 99%
“…If there exists some (ε * , η * ) ∈ S 1 × S 2 , satisfying Formula ( 14), then (ε * , η * ) is the Nash equilibrium solution of the gain matrix, and Λ(ε * , η * ) is the value of the gain matrix in the sense of hybrid strategy [36][37][38].…”
Section: Calculation Of the Nash Equilibrium Solution Of The Damage G...mentioning
confidence: 99%
“…The authors in [11] have proposed the configuration of sensors in which the orientation of sensors provides the best navigation performance and location of sensors minimizes the lever arm effect; optimal orientation has been determined considering the maximum eigenvalue of the estimation error covariance matrix as the FOM. In [12], an optimization algorithm has been proposed to compute the optimal configuration of inertial sensors, considering sensors of different accuracies and noise in sensors correlated, which is a generalized approach to determine the optimal configuration. The authors in [13] have proposed a configuration design method based on the KL-divergence that ensures the optimal accuracy as well as the reliability of the system and enhances the fault diagnosis capability of the system.…”
Section: Introductionmentioning
confidence: 99%
“…(a) Proposed an algorithm to solve the A-optimal problem in (12). (b) Proposed an algorithm to solve the D-optimal problem in (13).…”
Section: Introductionmentioning
confidence: 99%
“…At present, the configurations are designed based on two indices [10][11][12]: the mean time between faults (MTBF) [13] and the geometric dilution of precision (GDOP) [9]. The minimum sensor quantity can be calculated according to MTBF, and the condition of the optimal accuracy can be derived from GDOP.…”
Section: Introductionmentioning
confidence: 99%