The IMS2026 Tea is Getting Spilled!
Forget the Boston harbor — we're pouring out all the good stuff right now and spilling the tea on the not to be missed papers for RFSA2026
Smarter RF: AI-Powered Predistortion for Next-Gen 6G Radios
Tu2G: Residual Structure-Based Multi-Model Neural Network with Physical Inspired Core for Digital Predistortion In 6G Intelligent Radio
Xin Wei, Xidian University; Xin Liu, Xidian University; Huanhuan Jia, Xidian University; Tong Shen, Xidian University; Ting Feng, Xidian University; Yang Lu, Xidian University; Xiaohua Ma, Xidian University; Wenhua Chen, Tsinghua University
Summary: This paper proposes a multi-model residual neural network (MRS-NN) for digital predistortion (DPD) of RF power amplifiers. By integrating a band-pass feedback RNN with a residual architecture, the approach achieves improved linearization performance with lower complexity and better generalization across operating conditions, enabling efficient real-time adaptation in intelligent radio front-ends.
This Radar Doesn’t Just See — It Hears
We1B: Beyond Imaging: A 256 GHz Superheterodyne FMCW Radar System for 3-D Imaging and Micro-Doppler Based Sound Reconstruction
Ali Ghazizadeh Ghalati, University of Michigan; Aditya Varma Muppala, University of California, Berkeley; Ali Mosallae , University of Michigan; Morteza Tavakolitaba, University of Michigan; Behzad Yektakhah, University of Michigan; Kamal Sarabandi, University of Michigan; Ehsan Afshari; University of Michigan
Summary: This paper presents a 256 GHz superheterodyne FMCW radar system that combines high-resolution 3D imaging with micro-Doppler sensing in a single CMOS platform. It achieves millimeter-scale spatial resolution while capturing motion-induced frequency shifts to enable both imaging and vibration-based signal analysis.
Cleaner Fields, Better Science: Rethinking EPR Probes
We2C: Microwave Probe Based on an Inverted Microstrip Line for Broadband Electron Paramagnetic Resonance Spectroscopy
Selina Eckel, Matthias O Beck, Ahmet Cagri Ulusoy; Karlsruhe Institute of Technology
Summary: This paper introduces a broadband microwave probe based on an inverted microstrip line (IMSL) for electron paramagnetic resonance (EPR) spectroscopy, designed to improve magnetic field uniformity at the sample location. By enabling more homogeneous field distribution across a wide frequency range (up to 67 GHz), the approach delivers more reliable and position-independent EPR measurements, making it a compact and efficient solution for advanced biological and chemical sensing.
No Reflections, Just Precision: A Smarter Microwave Displacement Sensor
We1D: Two-Port-Quasi-Reflectionless Microwave Linear-Displacement Sensor Using a Balanced-Circuit Architecture
Zekai Luo, Xiamen University of Technology; Li Yang, South China Univ. of Technology; Roberto Gómez-García, Univ. of Alcala
Summary: This paper introduces a novel sensor design that can measure disctances more precisely while avoiding common interference issues found in existing solutions. The result is improved accuracy over a relatively wide measurement range—offering a promising approach that could outperform many conventional sensor technologies.
From Passive to Intelligent: RIS Becomes an RF Camera
Tu2D: RISCAM: A 576-Element 2D Scalable and Reconfigurable Intelligent Surface with Multi-Beam RF Camera at X-band for ISAC
Tyler J Blundo, Zijian Shao, Alex Stepko, Emir Ali Karahan, Juho Park, Kaushik Sengupta; Princeton University
Summary: This paper presents RISCAM, a 576-element reconfigurable intelligent surface (RIS) that integrates multi-beam RF sensing and beamforming in a single hardware platform. By combining angle-of-arrival estimation with real-time beam steering, the system enables scalable, low-latency integrated sensing and communication for future 6G networks.