activity
20232026
most citedAdvances in Anti-Deception Jamming Strategies for Radar Systems: A Survey

18 citations · 23 across the 8 of their papers we have counts for

collaborators

8 papers

cs.RO2026

Implementing Robust M-Estimators with Certifiable Factor Graph Optimization

Zhexin Xu, Hanna Jiamei Zhang, Helena Calatrava +2

Parameter estimation in robotics and computer vision faces formidable challenges from both outlier contamination and nonconvex optimization landscapes. While M-estimation addresses…

eess.SP2026

Label Hijacking in Track Consensus-Based Distributed Multi-Target Tracking

Helena Calatrava, Shuo Tang, Pau Closas

Distributed multi-target tracking (DMTT) in limited field-of-view (FoV) sensor networks commonly suffers from label inconsistency, whereby different nodes disagree on the identity…

eess.SP2026

Cooperative Differential GNSS Positioning: Estimators and Bounds

Helena Calatrava, Daniel Medina, Pau Closas

In Differential GNSS (DGNSS) positioning, differencing measurements between a user and a reference station suppresses common-mode errors but also introduces reference-station noise…

eess.SP2025★ 18 cited

Advances in Anti-Deception Jamming Strategies for Radar Systems: A Survey

Helena Calatrava, Shuo Tang, Pau Closas

Deception jamming has long been a significant threat to radar systems, interfering with search, acquisition, and tracking by introducing false information that diverts attention fr…

eess.SP2024★ 1 cited

Mitigation of Radar Range Deception Jamming Using Random Finite Sets

Helena Calatrava, Aanjhan Ranganathan, Tales Imbiriba +3

This paper presents a radar target tracking framework for addressing main-beam range deception jamming attacks using random finite sets (RFSs). Our system handles false alarms and…

cs.LG2023★ 1 cited

On the Impact of Sampling on Deep Sequential State Estimation

Helena Calatrava, Ricardo Augusto Borsoi, Tales Imbiriba +1

State inference and parameter learning in sequential models can be successfully performed with approximation techniques that maximize the evidence lower bound to the marginal log-l…

cs.LG2023★ 1 cited

Jammer classification with Federated Learning

Peng Wu, Helena Calatrava, Tales Imbiriba +1

Jamming signals can jeopardize the operation of GNSS receivers until denying its operation. Given their ubiquity, jamming mitigation and localization techniques are of crucial impo…

eess.IV2023★ 2 cited

Recursive classification of satellite imaging time-series: An application to land cover mapping

Helena Calatrava, Bhavya Duvvuri, Haoqing Li +5

Despite the extensive body of literature focused on remote sensing applications for land cover mapping and the availability of high-resolution satellite imagery, methods for contin…