A DATA-SELECTIVE LS SOLUTION TO TDOA-BASED SOURCE LOCALIZATION
José A. Apolinário · IEEE DataPort · 2019
This data-set was used for the localization of an emitter based on Time Difference of Arrival (TDoA).The classical least-squares (LS) algorithm, with a limited number of TDoA measurements, has been utilized for obtaining a closed-form solution to the source localization problem.An extension of the classical LS algorithm has been employed in an attempt to improve the precision of the localization technique by using a larger set of TDoA estimates.Considering all TDoA values can eventually degrade the accuracy of the localization method due to the presence of heavily noisy measurements.The ICASSP 2019 paper entitled " A DATA-SELECTIVE LS SOLUTION TO TDOA-BASED SOURCE LOCALIZATION", by employing a data-selective approach, proposes a closed-form LS solution that disregards bad measurements.To this end, two distinct objective functions are used: one to obtain a solution and a second one to test that particular solution among all possible ones within a subset of measurements.This data-set corresponds to all recordings of the real-life experiment carried out in this paper. From processing these recordings, we observe the superior performance of the proposed algorithm in the source localization problem.