2026-06-24T13:01:15Zhttps://riubu.ubu.es/oai/request

oai:riubu.ubu.es:10259/97012024-11-16T01:05:15Zcom_10259_8983com_10259_5086com_10259_2604col_10259_9699

Ruiz González, Rubén Gómez Gil, Jaime Gómez Gil, Francisco Javier Navas-Gracia, Luis M. 2024-11-15T10:31:28Z 2024-11-15T10:31:28Z 2017-12 978-1-5090-1012-7 2168-9229 1930-0395 http://hdl.handle.net/10259/9701 10.1109/ICSENS.2017.8233986 Signal source localization and separation are key tasks for many applications. In this paper, a new deterministic method is proposed for estimating the 3D location and separating multiple acoustic or vibration sources, simultaneously active. The method is based on TDOA measurements obtained via crosscorrelation. Then, with the information from the estimated locations, source separation is achieved. The performance of the method was evaluated, only through simulations, in terms of accuracy and computational load. The obtained results, with SNR=6dB, showed estimation errors for the localization method always bounded below 10 centimeters, obtaining the best results with a lower number of sources and a higher number of receivers. Furthermore, the computational load was substantially reduced as compared to exhaustive search, being the gain more noticeable for a higher number of sources. The corresponding error for the separation of the original source signals was bounded below 25%, for 2 sources and 6 receivers. Thus, there are strong evidences that the here-proposed method is accurate and robust enough, while being efficient in computational terms, so many applications can benefit from its use. eng info:eu-repo/semantics/openAccess Acoustics Blind source localization and separation Independent sources Single-path Time Difference of Arrival (TDOA) Vibration Blind 3D localization and separation of multiple vibration and acoustic sources simultaneously active info:eu-repo/semantics/conferenceObject