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Anti-Interference Communication Using Computational Antenna

Xiaocun Zong, Fan Yang, Shenheng Xu, Maokun Li

TL;DR

This work tackles anti-interference in wireless links without increasing spectral resources by introducing Computational Antennas that use time-averaging with a 1-bit RIS. The method transmits four time-segment streams with phase constants $\Delta\varphi \in \{0,\pi/4,\pi/2,3\pi/4\}$ and fuses them at the receiver via a weighted maximum-ratio combining strategy, enhancing SNR/SINR at the fundamental frequency. The paper provides a complete radiation-pattern model, a four-segment communication framework, and USRP-based validation under JSR values of 0 dB and 5 dB, achieving up to 80.9% BER reduction and successful image restoration. The results suggest a hardware-light, spectrally efficient approach for anti-interference with potential impact on radar, military communications, and next-generation wireless systems such as 6G.

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.

Anti-Interference Communication Using Computational Antenna

TL;DR

This work tackles anti-interference in wireless links without increasing spectral resources by introducing Computational Antennas that use time-averaging with a 1-bit RIS. The method transmits four time-segment streams with phase constants and fuses them at the receiver via a weighted maximum-ratio combining strategy, enhancing SNR/SINR at the fundamental frequency. The paper provides a complete radiation-pattern model, a four-segment communication framework, and USRP-based validation under JSR values of 0 dB and 5 dB, achieving up to 80.9% BER reduction and successful image restoration. The results suggest a hardware-light, spectrally efficient approach for anti-interference with potential impact on radar, military communications, and next-generation wireless systems such as 6G.

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.
Paper Structure (14 sections, 19 equations, 9 figures, 1 algorithm)

This paper contains 14 sections, 19 equations, 9 figures, 1 algorithm.

Table of Contents

  1. Introduction
  2. Modeling and Theoretical Analysis
  3. The Principle of Computational Antennas
  4. Communication Modeling
  5. Signal Processing Algorithm
  6. Experimental Validation
  7. Analysis and Discussions
  8. Conclusions
  9. Proof of SNR Improvement
  10. Theoretical Proof of Signal-to-Interference Ratio Improvement
  11. System Model
  12. Receiver Processing
  13. Cauchy-Schwarz Inequality in Interference Power
  14. Analysis

Figures (9)

  • Figure 1: Time-averaged signal transmission and reception process diagram and the suppressed sidelobes.
  • Figure 2: Framework of the Computational Antennas communication system.
  • Figure 3: Relative positions of the signal source, interference source, and RIS in the experimental setup.
  • Figure 4:
  • Figure 5: Experimental results under no interference, demonstrating high-quality signal transmission.
  • ...and 4 more figures

Theorems & Definitions (2)

  • proof
  • proof