Particle Flows for Source Localization in 3-D Using TDOA Measurements

• DOI: 10.48550/arxiv.2408.17096
• Publication Date: 2024-08-30
• Authors: W. Zhang; Mohammad Javad Kh...; Florian Meyer
• Keywords: Particle (ecology)

Localization using time-difference of arrival (TDOA) has myriad applications, e.g., in passive surveillance systems and marine mammal research. In this paper, we present a Bayesian estimation method that can localize an unknown number static sources 3-D based on TDOA measurements. The proposed localization algorithm particle flow (PFL) overcome the challenges related to highly nonlinear measurement model, data association (DA) uncertainty, uncertainty be localized. Different PFL strategies are compared within unified belief propagation (BP) framework challenging multisensor source problem. particular, consider PFL-based approximation beliefs one or multiple Gaussian kernels with parameters computed deterministic stochastic processes. Our numerical results demonstrate correctly determine provide accurate location estimates. demonstrates greater accuracy when same particles.