Browsing Reprints by Author "Braca, Paolo"
Now showing items 21-40 of 53
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Extended target tracking using joint probabilistic data association filter on X-band radar data
Vivone, Gemine; Braca, Paolo; Errasti, Borja (CMRE, 2019/06)X-band Marine radar systems are low-cost tools for monitoring multiple targets in a surveillance area. Although they may suffer from several sources of interference, high resolution measurements in both space and time can ... -
Heterogeneous information fusion for multitarget tracking using the sum-product algorithm
Soldi, Giovanni; Gaglione, Domenico; Meyer, Florian; Hlawatsch, Franz; Braca, Paolo; Farina, Alfonso; Win, Moe Z. (CMRE, 2019/06)The sum-product algorithm (SPA) was recently shown to provide a scalable methodology for multitarget tracking (MTT) using multiple sensors. Here, we focus on another advantage of the SPA frame-work, namely, its capacity ... -
Hybrid Bernoulli filtering for detection and tracking of anomalous path deviations
Forti, Nicola; Millefiori, Leonardo; Braca, Paolo (CMRE, 2019/05)This paper presents a solution to the problem of sequential joint anomaly detection and tracking of a target subject to switching unknown path deviations. Based on a dynamic model described by Ornstein- Uhlenbeck (OU) ... -
The impact of sea state on HF surface-wave radar ship detection and tracking performances
Maresca, Salvatore; Braca, Paolo; Grasso, Raffaele; Horstmann, Jochen (CMRE, 2019/06)Nowadays, we face an ever increasing interest in new technologies and solutions for the maritime surveillance (MS) domain. In such a context, oceanographic high-frequency surface-wave (HFSW) radars have started to get ... -
Joint probabilistic data association tracker for extended target tracking applied to X-band marine radar data
Vivone, Gemine; Braca, Paolo (CMRE, 2019/06)X-band marine radar systems are flexible and low-cost tools for monitoring multiple targets in a surveillance area. Although they may suffer from several sources of interference, e.g., sea clutter, they can provide ... -
Joint probabilistic data association tracker for extended target tracking applied to X-band marine radar data
Vivone, Gemine; Braca, Paolo (CMRE, 2017/11)X-band marine radar systems are flexible and low-cost tools for monitoring multiple targets in a surveillance area. Although they may suffer from several sources of interference, e.g., sea clutter, they can provide ... -
Knowledge-based ship tracking applied to HF surface wave radar data
Vivone, Gemine; Horstmann, Jochen; Braca, Paolo (CMRE, 2019/06)In recent years, low-power high-frequency surface-wave radars have received significant attention thanks to their over-the-horizon coverage capability and the continuous-time operation mode. These radars have become effective ... -
Knowledge-based ship tracking applied to HF surface wave radar data
Vivone, Gemine; Braca, Paolo; Horstmann, Jochen (CMRE, 2019/06)In recent years, low-power high-frequency surface-wave radars have received significant attention thanks to their over-the-horizon coverage capability and the continuous-time operation mode. These radars have become effective ... -
Learning with privacy in consensus + obfuscation
Braca, Paolo; Lazzeretti, Riccardo; Marano, Stefano; Matta, Vincenzo (CMRE, 2019/06)We examine the interplay between learning and privacy over multiagent consensus networks. The learning objective of each individual agent consists of computing some global network statistic, and is accomplished by means ... -
Long-term vessel kinematics prediction exploiting mean-reverting processes
Millefiori, Leonardo; Braca, Paolo; Bryan, Karna; Willett, Peter K. (CMRE, 2019/06)Long-term target state estimation of non-manoeuvring targets, such as vessels under way in open sea, is crucial for maritime security. The dynamics of non-manoeuvring targets is traditionally modelled with a white noise ... -
Maritime anomaly detection based on mean-reverting stochastic processes applied to a real-world scenario
D'Afflisio, Enrica; Braca, Paolo; Millefiori, Leonardo; Willett, Peter K. (CMRE, 2019/05)A novel anomaly detection procedure based on the Ornstein-Uhlenbeck (OU) mean-reverting stochastic process is presented. The considered anomaly is a vessel that deviates from a planned route, changing its nominal velocity ... -
Maritime situational awareness use cases enabled by space-borne sensors
Millefiori, Leonardo; Vivone, Gemine; Braca, Paolo; Cazzanti, Luca; Bryan, Karna (CMRE, 2019/06)This paper discusses a technique for predicting a vessel?s position over a long time horizon with much lower uncertainty than current methods. Lowering the uncertainty of long-range prediction is a key challenge in maritime ... -
Maritime surveillance using multiple high-frequency surface-wave radars
Maresca, Salvatore; Braca, Paolo; Horstmann, Jochen; Grasso, Raffaele (CMRE, 2014/05)In the last decades, great interest has been directed toward low-power high-frequency (HF) surface-wave radars as long-range early warning tools in maritime-situational-awareness applications. These sensors, developed for ... -
Maritime surveillance with multiple over-the-horizon HFSW radars: an overview of recent experimentation
Braca, Paolo; Maresca, Salvatore; Grasso, Raffaele; Bryan, Karna; Horstmann, Jochen (CMRE, 2019/06)This paper briefly explores the high-frequency surface-wave (HFSW) radar technology in general, and Wellen radar (WERA) in more detail. Then it describes the multitarget tracking data fusion (MTTDF) network architecture ... -
Model performance assessment for long-term vessel prediction using HFSW radar data
Vivone, Gemine; Millefiori, Leonardo; Braca, Paolo; Willett, Peter K. (CMRE, 2019/06)Vessels in open seas are seldom continuously observed. Thus, the problem of long-term vessel prediction becomes crucial. This paper focuses its attention on the performance assessment of the Ornstein- Uhlenbeck target ... -
Modeling vessel kinematics using a stochastic mean-reverting process for a long-term prediction
Millefiori, Leonardo; Braca, Paolo; Bryan, Karna; Willett, Peter K. (CMRE, 2019/06)We present a novel method for predicting long-term target states based on mean-reverting stochastic processes. We use the Ornstein-Uhlenbeck (OU) process, leading to a revised target state equation and to a time scaling ... -
Multi-sensor ISAR technique for translational motion estimation
Bucciarelli, Marta; Pastina, Debora; Errasti, Borja; Braca, Paolo (CMRE, 2019/06)In the last years a lot of interest has grown concerning the exploitation of data acquired by multiple sensors belonging to multistatic or Multiple Input Multiple Output systems. Indeed increased information and/or better ... -
Multiple Bayesian extended target tracking
Vivone, Gemine; Braca, Paolo; Granström, Karl; Willett, Peter K. (CMRE, 2019/06)To track an extended target presents challenges because the hypothesis of "one target means one detection" is not valid. Several approaches to extended target tracking (ETT) have been found promising, and in particular ... -
Multiple Ornstein-Uhlenbeck processes for maritime traffic graph representation
Coscia, Pasquale; Braca, Paolo; Millefiori, Leonardo; Palmieri, Francesco A. N.; Willett, Peter K. (CMRE, 2019/05)We propose an unsupervised procedure to automatically extract a graph-based model of commercial maritime traffic routes from historical Automatic Identification System (AIS) data. In the proposed representation, the main ... -
Multiple sensor Bayesian extended target tracking fusion approaches using random matrices
Vivone, Gemine; Granström, Karl; Braca, Paolo; Willett, Peter K. (CMRE, 2019/06)The tracking of extended targets is attracting a growing literature thanks to the high resolution of several modern radar systems. A fully Bayesian solution has been proposed in the random matrix framework. In this paper, ...