Anti-Interference Communication Using Computational Antenna

2025-10-16

AI Summary

To address anti-jamming communication challenges in spectrum-constrained scenarios under strong interference (e.g., jammer-to-signal ratio as low as 5 dB), this paper proposes a low-complexity, robust modulation scheme leveraging computational antennas and 1-bit reconfigurable intelligent surfaces (RIS). Unlike spread-spectrum or frequency-hopping techniques that consume substantial spectral resources, the proposed method achieves interference suppression without additional bandwidth overhead by employing time-averaged channel modeling and time-domain modulation optimization. Its core innovation lies in the co-design of computational antenna theory and ultra-low-cost 1-bit RIS hardware, establishing a software–hardware joint anti-jamming architecture operating in the time domain. Experimental validation on a USRP platform demonstrates that, under 5 dB interference, the scheme reduces bit error rate by up to 80.9% and successfully reconstructs severely distorted images—confirming its high robustness and engineering feasibility.

Technology Category

• Intelligent Robots: Multimodal Perception & Sensor Fusion
• Computer Vision: Adversarial Attacks & Robustness
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems

Application Category

• User Modeling, Personalization and Recommendation: Attacks and countermeasures in recommendation systems
• Responsible Web: Measurement, analysis, and circumvention of Web censorship
• Search and Retrieval-Augmented AI: Retrieval-Augmented Generation (RAG) and multi-modal RAG

Abstract

This letter proposes a novel anti-interference communication method leveraging computational antennas, utilizing time averaging and 1-bit reconfigurable intelligent surfaces (RIS) to achieve robust signal modulation with minimal hardware complexity. We develop a communication model for computational antennas and propose an efficient signal processing algorithm optimized for temporal modulation. A USRP-based experimental platform is established to validate the approach under strong interference conditions (e.g., 5 dB jamming-to-signal ratio). Experimental results reveal up to an 80.9% reduction in bit error rate (BER) and effective restoration of distorted images in transmission tests. Compared to conventional techniques like spread spectrum or frequency hopping, which require significant spectral resources, our method offers superior anti-interference performance without additional spectral overhead. This research provides valuable insights for radar detection, military communications, and next-generation wireless networks.

Problem

• Develops anti-interference communication using computational antennas
• Proposes signal processing algorithm for temporal modulation optimization
• Achieves robust communication under strong interference without spectral overhead

Innovation

• Computational antennas enable anti-interference communication
• Time averaging and 1-bit RIS achieve robust modulation
• Efficient algorithm optimizes temporal modulation processing