Adaptive ECCM for Mitigating Smart Jammers

Principal Agent Problem as a Principled Approach to Electronic Counter-Countermeasures in Radar

Electronic countermeasures (ECM) against a radar are actions taken by an adversarial jammer to mitigate effective utilization of the electromagnetic spectrum by the radar. On the other hand, electronic counter-countermeasures (ECCM) are actions taken by the radar to mitigate the impact of electronic countermeasures (ECM) so that the radar can continue to operate effectively. The main idea of this paper is to show that ECCM involving a radar and a jammer can be formulated as a principal-agent problem (PAP) - a problem widely studied in microeconomics. With the radar as the principal and the jam…

New ECCM Techniques Against Noise-like and/or Coherent Interferers

Multiple-stage adaptive architectures are conceived to face with the problem of target detection buried in noise, clutter, and intentional interference. First, a scenario where the radar system is under the electronic attack of noise-like interferers is considered. In this context, two sets of training samples are jointly exploited to devise a novel two-step estimation procedure of the interference covariance matrix. Then, this estimate is plugged in the adaptive matched filter to mitigate the deleterious effects of the noise-like jammers on radar sensitivity. Besides, a second scenario, which…

持续深度强化学习以防止干扰缓解中的灾难性遗忘

Continual Deep Reinforcement Learning to Prevent Catastrophic Forgetting in Jamming Mitigation

针对动态无线环境中DRL抗干扰系统的灾难性遗忘问题，提出基于PackNet的持续深度强化学习方法，使网络在学习新干扰模式时保留旧知识，显著提升抗干扰性能与鲁棒性。

Mitigating Smart Jammers in MU-MIMO via Joint Channel Estimation and Data Detection

Wireless systems must be resilient to jamming attacks. Existing mitigation methods require knowledge of the jammer's transmit characteristics. However, this knowledge may be difficult to acquire, especially for smart jammers that attack only specific instants during transmission in order to evade mitigation. We propose a novel method that mitigates attacks by smart jammers on massive multi-user multiple-input multiple-output (MU-MIMO) basestations (BSs). Our approach builds on recent progress in joint channel estimation and data detection (JED) and exploits the fact that a jammer cannot change…

一种在22FDX工艺下实现干扰缓解的267 Mb/s 3.78 mm$^2$ 583 mW 32$\ imes$8多用户MIMO接收机

A Jammer-Mitigating 267 Mb/s 3.78 mm$^2$ 583 mW 32$\times$8 Multi-User MIMO Receiver in 22FDX

本文提出首款缓解干扰攻击的多用户MIMO接收机ASIC，采用非线性算法联合空间滤波与箱先验进行干扰缓解与数据检测，支持8用户32天线，在22nm工艺下实现267 Mb/s吞吐量，是唯一能在干扰下可靠检测数据的现有设计。

在多用户 MIMO 中缓解智能干扰机

Mitigating Smart Jammers in Multi-User MIMO

提出一种无需干扰机特定活动时间即可缓解大规模 MU-MIMO 上行链路智能干扰的方法，通过统一优化问题并开发 MAED 和 SO-MAED 两种迭代算法，在无攻击先验知识下有效恢复用户数据。