3 papers
eess.SP2026
Swarm and Evolutionary Computation for Near-Field Localization
Parisa Ramezani, Seyed Jalaleddin Mousavirad, Mattias O'Nils +1
Near-field localization has attracted significant attention in recent years due to the move toward higher frequencies and extremely large aperture arrays, which expand the near-fie…
cs.NE2026
A Primer on Evolutionary Optimization Frameworks for Near-Field Multi-Source Localization
Seyed Jalaleddin Mousavirad, Parisa Ramezani, Mattias O'Nils +1
This paper introduces evolutionary optimization as a grid-free training-free continuous-domain search mechanism for near-field multi-source localization, addressing the major limit…
eess.SP2025
Machine Learning-Based Near-Field Localization in Mixed LoS/NLoS Scenarios
Parisa Ramezani, Seyed Jalaleddin Mousavirad, Mattias O'Nils +1
The conventional MUltiple SIgnal Classification (MUSIC) algorithm is effective for angle-of-arrival estimation in the far-field and can be extended for full source localization in…