activity
20172022
most citedDictionary Learning for Adaptive GPR Landmine Classification

44 citations · 73 across the 6 of their papers we have counts for

collaborators

6 papers

eess.SP2022★ 1 cited

Modern GPR Target Recognition Methods

Fabio Giovanneschi, Kumar Vijay Mishra, Maria Antonia Gonzalez-Huici

Traditional GPR target recognition methods include pre-processing the data by removal of noisy signatures, dewowing (high-pass filtering to remove low-frequency noise), filtering,…

eess.SP2021★ 26 cited

Sparse Reconstruction of Chirplets for Automotive FMCW Radar Interference Mitigation

Aitor Correas-Serrano, María A. González-Huici

Mutual interference in automotive radar scenarios is going to become a major concern as the density of vehicles with radar sensors in the roads increases. The present work tackles…

cs.CV2018★ 44 cited

Dictionary Learning for Adaptive GPR Landmine Classification

Fabio Giovanneschi, Kumar Vijay Mishra, Maria Antonia Gonzalez-Huici +2

Ground penetrating radar (GPR) target detection and classification is a challenging task. Here, we consider online dictionary learning (DL) methods to obtain sparse representations…

eess.SP2018★ 1 cited

Constrained optimal design of automotive radar arrays using the Weiss-Weinstein Bound

M. A. González-Huici, D. Mateos-Núñez, C. Greiff +1

We propose a design strategy for optimizing antenna positions in linear arrays for far-field Direction of Arrival (DoA) estimation of narrow-band sources in collocated MIMO radar.…

eess.SY2017

Adaptive channel selection for DOA estimation in MIMO radar

David Mateos-Núñez, María A. González-Huici, Renato Simoni +1

We present adaptive strategies for antenna selection for Direction of Arrival (DoA) estimation of a far-field source using TDM MIMO radar with linear arrays. Our treatment is formu…

cs.IT2017★ 1 cited

Online Dictionary Learning Aided Target Recognition In Cognitive GPR

Fabio Giovanneschi, Kumar Vijay Mishra, Maria Antonia Gonzalez-Huici +2

Sparse decomposition of ground penetration radar (GPR) signals facilitates the use of compressed sensing techniques for faster data acquisition and enhanced feature extraction for…