On spatial uncertainty in a surface long baseline positioning system
Year: 2000
Type: conference-paper
Abstract: This paper describes a general method for estimating the probability distribution of an acoustic source resulting from noisy measurements in a surface long baseline (SLBL) positioning system. Compared with Monte Carlo simulations this method calculates the mean and covariance at a reduced computational cost, due to a deterministic sampling strategy. Hence, it can easily be checked if a SLBL configuration is well suited to a particular positioning scenario.
Source: HAL
Language: English
Subfield: Ocean Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2304814745
