Wireless systems must be resilient to jamming attacks. Existing mitigation methods based on multi-antenna processing require knowledge of the jammer's transmit characteristics that may be difficult to acquire, especially for smart jammers that evade mitigation by transmitting only at specific instants. We propose a novel method to mitigate smart jamming attacks on the massive multi-user multiple-input multiple-output (MU-MIMO) uplink which does not require the jammer to be active at any specific instant. By formulating an optimization problem that unifies jammer estimation and mitigation, channel estimation, and data detection, we exploit that a jammer cannot change its subspace within a coherence interval. Theoretical results for our problem formulation show that its solution is guaranteed to recover the users' data symbols under certain conditions. We develop two efficient iterative algorithms for approximately solving the proposed problem formulation: MAED, a parameter-free algorithm which uses forward-backward splitting with a box symbol prior, and SO-MAED, which replaces the prior of MAED with soft-output symbol estimates that exploit the discrete transmit constellation and which uses deep unfolding to optimize algorithm parameters. We use simulations to demonstrate that the proposed algorithms effectively mitigate a wide range of smart jammers without a priori knowledge about the attack type.
翻译:无线系统必须具有抵御干扰袭击的弹性。基于多抗安纳处理的现有减缓方法要求了解干扰器传输的特征,这些特征可能难以获取,特别是智能干扰器的特征,这些特征可能难以获得,而智能干扰器的传播只是通过特定瞬间传输而逃避减缓。我们提出一种新的方法,以减轻对大规模多用户多投投多输出多输出(MU-MIIMO)上链接的智能干扰袭击,该方法并不要求干扰器在任何特定时刻活动。我们通过制定一个优化问题,将干扰器的干扰器估计和减缓、频道估计和数据探测统一起来,我们利用干扰器无法在一致性间隔内改变其子空间。我们问题配方的理论结果显示,其解决方案可以保证在某些条件下恢复用户的数据符号。我们开发了两种高效的迭代算法,以大致解决拟议的问题配方(MAED),一种无参数的算法,在任何特定时刻都使用盒符号进行前向后分解,而SOMAED用软输出符号来取代以前使用软输出符号估计,利用离离式传送星传送星座,并使用深度发展智能测算器来优化攻击前的智能测算器。我们使用模拟模型,以有效地显示关于前测算法类型,以显示拟议的宽测算。