Search Results for author: Giorgio Battistelli

Found 5 papers, 1 papers with code

Efficient dual-scale generalized Radon-Fourier transform detector family for long time coherent integration

no code implementations11 Mar 2024 Suqi Li, Yihan Wang, Bailu Wang, Giorgio Battistelli, Luigi Chisci, Guolong Cui

Since RM and DFM are induced by the same motion parameters, existing approaches such as the generalized Radon-Fourier transform (GRFT) or the keystone transform (KT)-matching filter process (MFP) adopt the same search space for the motion parameters in order to eliminate both effects, thus leading to large redundancy in computation.

Computational Efficiency

A Variational Bayes Moving Horizon Estimation Adaptive Filter with Guaranteed Stability

no code implementations10 Oct 2021 Xiangxiang Dong, Giorgio Battistelli, Luigi Chisci, Yunze Cai

This paper addresses state estimation of linear systems with special attention on unknown process and measurement noise covariances, aiming to enhance estimation accuracy while preserving the stability guarantee of the Kalman filter.

Multi-sensor joint target detection, tracking and classification via Bernoulli filter

no code implementations23 Sep 2021 Gaiyou Li, Ping Wei, Giorgio Battistelli, Luigi Chisci, Lin Gao

This paper focuses on \textit{joint detection, tracking and classification} (JDTC) of a target via multi-sensor fusion.

Sensor Fusion

Principled information fusion for multi-view multi-agent surveillance systems

no code implementations23 May 2021 Bailu Wang, Suqi Li, Giorgio Battistelli, Luigi Chisci, Wei Yi

A key objective of multi-agent surveillance systems is to monitor a much larger region than the limited field-of-view (FoV) of any individual agent by successfully exploiting cooperation among multi-view agents.

Multi-Object Tracking Object

5G mmWave Cooperative Positioning and Mapping using Multi-Model PHD Filter and Map Fusion

1 code implementation26 Aug 2019 Hyowon Kim, Karl Granström, Lin Gao, Giorgio Battistelli, Sunwoo Kim, Henk Wymeersch

5G millimeter wave (mmWave) signals can enable accurate positioning in vehicular networks when the base station (BS) and vehicles are equipped with large antenna arrays.

Cannot find the paper you are looking for? You can Submit a new open access paper.