2022
DOI: 10.1002/acs.3517
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Target localization and multicircular circumnavigation with bearing‐only measurements

Abstract: This article studies the multicircular circumnavigation problem of a stationary target using bearing-only measurements. The proposed estimator-based control strategy drives the networked mobile agents to move around an unknown target along different circles with any prescribed inter-agent angular spacing. The results presented in this article are as follows: First, a new estimator is developed by introducing a linear filter into an estimation algorithm which has been widely used in the existing literature. The… Show more

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Cited by 9 publications
(2 citation statements)
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“…Since any v i in ( 3) is modeled as a normally distributed Gaussian random vector, we suppose that also n S in (7) approximates a Gaussian random vector with n i.i.d. components.…”
Section: Wls-based Target Position Estimationmentioning
confidence: 99%
See 1 more Smart Citation
“…Since any v i in ( 3) is modeled as a normally distributed Gaussian random vector, we suppose that also n S in (7) approximates a Gaussian random vector with n i.i.d. components.…”
Section: Wls-based Target Position Estimationmentioning
confidence: 99%
“…Indeed, in the former, a Maximum Likelihood approach is exploited to face the non-linearities affecting the measurement noise, while in the latter the task is formalized and addressed in a constrained geometric optimization framework resting on the relative direction of the agents' bearings. More recently, similar measurement-aware methods have been proposed for the localization of multiple static targets by means of a multi-agent formation in the context of obstacle avoidance task [5], and for the localization of a single dynamic target moving on a plane and tracked by a group of seeker agents [6], [7]. In these works, the seeker agents are steered along continuous predetermined (elliptical and circular, respectively) trajectories, independently of the target localization uncertainty.…”
Section: Introductionmentioning
confidence: 99%