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.

翻译：本文提出了一种新颖的利用计算天线的抗干扰通信方法，该方法结合时间平均与1比特可重构智能表面（RIS），以最低的硬件复杂度实现稳健的信号调制。我们建立了计算天线的通信模型，并提出了一种针对时域调制优化的高效信号处理算法。搭建了一个基于USRP的实验平台，以在强干扰条件下（例如5 dB的干扰信号比）验证该方法的有效性。实验结果表明，该方法可使误码率（BER）降低高达80.9%，并在传输测试中有效恢复失真的图像。与扩频或跳频等需要大量频谱资源的传统技术相比，我们的方法在不增加额外频谱开销的情况下，提供了更优越的抗干扰性能。这项研究为雷达探测、军事通信以及下一代无线网络提供了有价值的见解。