论文标题
智能，分布式和多安丹娜干扰器的关节干扰器缓解和数据检测
Joint Jammer Mitigation and Data Detection for Smart, Distributed, and Multi-Antenna Jammers
论文作者
论文摘要
多Anti-Antenna（MIMO）处理是解决干扰器问题的有前途的解决方案。现有方法根据通过专用培训阶段获得的子空间（或接收统计）的估计来减轻干扰器。该策略具有两个主要缺点：（i）它降低了通信率，因为在训练阶段无法传输任何数据，并且（ii）可以通过智能或多半空区的干扰器来探索，它们在训练阶段保持安静，或者通过时间变化的光束成立会动态地改变其子空间。为了解决这些缺点，我们提出了简化和数据检测（JMD），这是一种新颖的MIMO干扰器缓解范围。核心思想是共同估计和删除干扰器干扰子空间，并在多个时间插槽中检测传输数据。这样做可以消除对降低降低税率的培训期的需求，同时可以减轻智能和动态的多触角干扰器。我们与桑德曼（Sandman）实例化范式，桑德曼（Sandman）是一种简单且实用的算法，用于多用户MIMO上行链路JMD。广泛的模拟证明了JMD尤其是Sandman的功效，以减轻干扰性。
Multi-antenna (MIMO) processing is a promising solution to the problem of jammer mitigation. Existing methods mitigate the jammer based on an estimate of its subspace (or receive statistics) acquired through a dedicated training phase. This strategy has two main drawbacks: (i) it reduces the communication rate since no data can be transmitted during the training phase and (ii) it can be evaded by smart or multi-antenna jammers that are quiet during the training phase or that dynamically change their subspace through time-varying beamforming. To address these drawbacks, we propose joint jammer mitigation and data detection (JMD), a novel paradigm for MIMO jammer mitigation. The core idea is to estimate and remove the jammer interference subspace jointly with detecting the transmit data over multiple time slots. Doing so removes the need for a dedicated rate-reducing training period while enabling the mitigation of smart and dynamic multi-antenna jammers. We instantiate our paradigm with SANDMAN, a simple and practical algorithm for multi-user MIMO uplink JMD. Extensive simulations demonstrate the efficacy of JMD, and of SANDMAN in particular, for jammer mitigation.
