2019/10/23 by Srđan Kitić, Kitić, Srđan, Clément Gaultier +3
Computer Science · Engineering · #Advanced Adaptive Filtering Techniques #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Indoor and Outdoor Localization Technologies #Signal Processing (eess.SP) #Sound (cs.SD) #Speech and Audio Processing #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1910.10661
openalex publication_date 2019/10/23 · openalex created_date 2022/07/28 · openalex updated_date 2026/07/28
In this article we analyze the state-of-the-art in multilateration - the\nfamily of localization methods enabled by the range difference observations.\nThese methods are computationally efficient, signal-independent, and flexible\nwith regards to the number of sensing nodes and their spatial arrangement.\nHowever, the multilateration problem does not admit a closed-form solution in\nthe general case, and the localization performance is conditioned on the\naccuracy of range difference estimates. For that reason, we consider a\nsimplified use case where multiple distributed microphones capture the signal\ncoming from a near field sound source, and discuss their robustness to the\nestimation errors. In addition to surveying the relevant bibliography, we\npresent the results of a small-scale benchmark of few "mainstream"\nmultilateration algorithms, based on an in-house Room Impulse Response dataset.\n