Manifold Optimization for High-Accuracy Spatial Location Estimation Using Ultrasound Waves
Abstract
This paper reports the design of a high-accuracy spatial location estimation method using ultrasound waves by exploiting the fixed geometry of the transmitters. Assuming an isosceles triangle antenna configuration, where three antennas are placed as the vertices of an isosceles triangle, the spatial location problem can be formulated as a non-convex optimization problem whose interior is shown to admit a Riemannian manifold structure. Our investigation of the geometry of the newly introduced manifold (i.e., the manifold of all isosceles triangles in R³) enables the design of highly efficient optimization algorithms. Simulations are presented to compare the performance of the proposed approach with popular methods from the literature. The results suggest that the proposed Riemannian-based methods outperform the state-of-the-art methods. Furthermore, the proposed Riemannian methods require much less computation time compared to popular generic non-convex approaches.
Additional Information
© 2021 IEEE. Manuscript received September 23, 2020; revised March 21, 2021 and July 14, 2021; accepted August 7, 2021. Date of publication September 3, 2021; date of current version September 17, 2021. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Emilie Chouzenoux. The authors would like to thank Mohammed Abugurain for discussions on the proposed triangle constraints.Attached Files
Submitted - 2103.15050.pdf
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Additional details
- Eprint ID
- 108725
- Resolver ID
- CaltechAUTHORS:20210414-080100426
- Created
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2021-04-14Created from EPrint's datestamp field
- Updated
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2021-10-07Created from EPrint's last_modified field