Brownian Bridge Diffusion-Based Joint Channel Estimation and Data Detection for Jamming-Resilient Receivers
arXiv:2606.28778v1 Announce Type: cross Abstract: In next-generation wireless networks, the growing density of devices and limited spectrum resources pose severe jamming challenges to fragile legitimate communication links in the wireless electromagnetic environment. Crucially, when jamming overlaps with pilot and data symbols in both time and frequency domains, it inflicts a severe bottleneck on receiver-side joint estimation and detection. Existing schemes often lack an effective framework to combat such jamming contamination, thereby failing to guarantee reliable transmission. To address th
The increasing density of wireless devices and limited spectrum resources are making jamming a critical and growing challenge for next-generation wireless networks.
This research addresses a severe bottleneck in communication reliability that directly impacts critical infrastructure, military operations, and commercial applications reliant on robust wireless links.
This advancement proposes a new framework for jam-resilient receivers, potentially enhancing the reliability and security of wireless communications in contested environments.
- · Defence sectors
- · Telecommunications companies
- · Wireless device manufacturers
- · Critical infrastructure operators
- · Adversarial jamming entities
- · Communication systems with legacy jam-vulnerable designs
Legitimate wireless communications become more robust against jamming attacks, improving data integrity and availability.
This enhanced resilience could enable more widespread deployment of autonomous systems and IoT devices in challenging electromagnetic environments.
Nations and organizations with access to this technology gain a strategic advantage in areas like military communications and cyber warfare defense.
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Read at arXiv cs.AI