@inbook{4849dba660b34ea0b76bc0809ddc32c2,
title = "A robust toa source localization algorithm based on LPNN",
abstract = "One of the traditional models for finding the location of a mobile source is the time-of-arrival (TOA). It usually assumes that the measurement noise follow a Gaussian distribution. However, in practical, outliers are difficult to be avoided. This paper proposes an l1-norm based objective function for alleviating the influence of outliers. Afterwards, we utilize the Lagrange programming neural network (LPNN) framework for the position estimation. As the framework requires that its objective function and constraints should be twice differentiable, we introduce an approximation for the l1-norm term in our LPNN formulation. From the simulation result, our proposed algorithm has very good robustness.",
keywords = "LPNN, Outliers, Source location, Time-of-arrival",
author = "Hao Wang and Ruibin Feng and Chi-Sing Leung",
year = "2016",
month = oct,
doi = "10.1007/978-3-319-46687-3\_41",
language = "English",
isbn = "9783319466866",
volume = "9947 LNCS",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "367--375",
editor = "Kenji Doya and Kazushi Ikeda and Minho Lee and Akira Hirose and Seiichi Ozawa and Derong Liu",
booktitle = "Neural Information Processing",
address = "Germany",
note = "23rd International Conference on Neural Information Processing, ICONIP 2016 ; Conference date: 16-10-2016 Through 21-10-2016",
}