CORTEXA
← Browse
arxiveess.SP2026-07-22

Swarm and Evolutionary Computation for Near-Field Localization

Parisa Ramezani, Seyed Jalaleddin Mousavirad, Mattias O'Nils, Emil Björnson

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-field region and bring many sources into it. This implies that antenna arrays can be used to localize not only in angle but also in range. Although a wide range of localization methods has been developed, each comes with limitations that may hinder practical deployment. This article focuses on a class of techniques that has received relatively little attention in the prior literature despite its strong potential for accurate and efficient location estimation: swarm and evolutionary computation (SEC). These methods are well-suited to the complex optimization landscape of near-field localization and can offer important advantages over conventional approaches such as grid-based subspace methods and deep learning approaches.

View free PDFSource page

Related papers

arxiveess.SP2026-07-22

Near-Field Sampling for Line Sources

Jiawang Li, Mats Gustafsson

Near-field sampling seeks to represent electromagnetic fields between transmitting and receiving regions using a minimal number of measurement points while preserving the dominant spatial modes. This paper develops a geometry-aware sampling framework based on spatial degrees of f…

View free PDFSource page
arxivphysics.opticseess.SP2026-07-09

Inverse-designed meta processing units for multi-task near-field photonic computing

Chu Wu, Zeyu Cai, Songtao Yang, Ruoyu Shen, Yinan Zhao, Haiou Zhang, et al.

Integrated photonic neural networks require optical operators that are simultaneously compact, matrix-general and compatible with task-level reconfigurability. Here we introduce a meta processing unit (MPU), an inverse-designed near-field photonic device that implements local com…

View free PDFSource page
arxiveess.SP2026-07-31

Near-Field Communications with Grating Lobes for Quasi-Distributed Arrays: From ULA to MRA

Mingyuan Zhou, Zhuo Xu, Linglong Dai

Extremely large-scale antenna array (ELAA) has emerged as a common feature of many key candidate technologies for 6G, where the near-field characteristics become dominant. The quasi-distributed array can further extend the near-field range and utilize the near-field benefits to i…

View free PDFSource page
arxiveess.SPcs.IT2026-07-21

Non-Square UPA-Enabled XL-MIMO Systems: Anisotropic Near-Field Characterization, Fundamental Limits, and Channel Estimation

Yilong Liu, Xi Yang, Jing Xu, Jun Zhang, Shi jin

Extremely large-scale multiple-input multiple-output (XL-MIMO) is crucial for next-generation communication systems. In practice, the deployment of non-square uniform planar arrays (UPAs) fundamentally alters wavefront characteristics and induces anisotropic beamfocusing capabili…

View free PDFSource page
arxiveess.SP2026-07-24

PHY Authentication for Ambient IoTs in Near-Field XL-MIMO Backscatter Communication Systems

Fikiri Salum Uledi, Hafsa Ahmad, Muhammad Bilal Janjua, Cagri Ozgenc Etemoglu, Huseyin Arslan

This letter exploits near-field (NF) spherical wavefronts to derive geometry-dependent physical signatures for backscatter device (BD) authentication in extremely large-scale multiple-input multiple-output (XL-MIMO) backscatter communication systems. We propose a binary element-w…

View free PDFSource page