Jammer-Resilient Time Synchronization in the MIMO Uplink

IF 5.8 2区 工程技术 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC IEEE Transactions on Signal Processing Pub Date : 2025-01-29 DOI:10.1109/TSP.2025.3536012
Gian Marti;Flurin Arquint;Christoph Studer
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Abstract

Spatial filtering based on multiple-input multiple-output (MIMO) processing is a promising approach to jammer mitigation. Effective MIMO data detectors that mitigate smart jammers have recently been proposed, but they all assume perfect time synchronization between transmitter(s) and receiver. However, to the best of our knowledge, there are no methods for resilient time synchronization in the presence of smart jammers. To remedy this situation, we propose JASS, the first method that enables reliable time synchronization for the single-user MIMO uplink while mitigating smart jamming attacks. JASS detects a randomized synchronization sequence based on a novel optimization problem that fits a spatial filter to the time-windowed receive signal in order to mitigate the jammer. We underscore the efficacy of the proposed optimization problem by proving that it ensures successful time synchronization under certain intuitive conditions. We then derive an efficient algorithm for approximately solving our optimization problem. Finally, we use simulations to demonstrate the effectiveness of JASS against a wide range of different jammer types.
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MIMO上行链路中干扰恢复时间同步
基于多输入多输出(MIMO)处理的空间滤波是一种很有前途的干扰抑制方法。最近提出了有效的MIMO数据检测器来缓解智能干扰,但它们都假设发射机和接收机之间的时间完全同步。然而,据我们所知,在智能干扰机存在的情况下,没有办法实现弹性时间同步。为了纠正这种情况,我们提出了JASS,这是第一种能够在减轻智能干扰攻击的同时为单用户MIMO上行链路实现可靠时间同步的方法。JASS基于一种新颖的优化问题来检测随机同步序列,该优化问题将空间滤波器拟合到带时窗的接收信号中,以减轻干扰。我们通过证明该优化问题在一定的直观条件下保证了时间同步的成功,从而强调了该优化问题的有效性。然后,我们推导出一个有效的算法来近似求解我们的优化问题。最后,我们使用仿真来证明JASS对各种不同类型干扰机的有效性。
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来源期刊
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing 工程技术-工程:电子与电气
CiteScore
11.20
自引率
9.30%
发文量
310
审稿时长
3.0 months
期刊介绍: The IEEE Transactions on Signal Processing covers novel theory, algorithms, performance analyses and applications of techniques for the processing, understanding, learning, retrieval, mining, and extraction of information from signals. The term “signal” includes, among others, audio, video, speech, image, communication, geophysical, sonar, radar, medical and musical signals. Examples of topics of interest include, but are not limited to, information processing and the theory and application of filtering, coding, transmitting, estimating, detecting, analyzing, recognizing, synthesizing, recording, and reproducing signals.
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