FPGA-Based AI for Wireless Channel Estimation

Explore how FPGA-based AI for wireless channel estimation can improve receiver performance in modern wireless, communications, and satellite systems. This video introduces a robust neural network channel estimation approach for OFDM signals, showing how AI can help estimate channel conditions more efficiently while reducing computational complexity compared with traditional methods. The video also covers the neural network model, output reduction techniques, and conditional inferencing to enhance dynamic range and efficiency. For the wireless, telecom, and satcom market, this is highly relevant because accurate channel estimation is critical for 5G/6G infrastructure, software-defined radio, phased arrays, beamforming, and satellite links. By using FPGAs to accelerate AI-based channel estimation, developers can build adaptable, low-latency, power-efficient signal processing pipelines for next-generation communications networks. Learn more: https://www.altera.com/events/mwc-2026?utm_source=google&utm_medium=social&utm_campaign=misc About Altera Altera is a leading supplier of programmable hardware, software, and development tools that empower designers of electronic systems to innovate, differentiate, and succeed in their markets. With a broad portfolio of industry-leading FPGAs, SoCs, and design solutions, Altera enables customers to achieve faster time-to-market and unmatched performance in applications spanning industrial automation, audio/video, robotics, aerospace, defense, data centers, telecommunications, edge AI and more. For more information, visit www.altera.com Subscribe to our newsletter to get latest FPGA innovation updates: https://www.altera.com/contact-us/ema... 1. Subscribe us on YouTube: https://www.youtube.com/@AlteraFPGA_/featured 2. Follow us on LinkedIn: https://www.linkedin.com/company/altera-fpga/ 3. Follow us on X: https://x.com/AlteraFPGA_