Joint Jammer Mitigation and Data Detection for Smart, Distributed, and Multi-Antenna Jammers
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Date
2023-10-23
Publication Type
Conference Paper
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yes
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Abstract
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 and rate-reducing training period while mitigating 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.
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Publication status
published
Editor
Book title
ICC 2023 - IEEE International Conference on Communications
Journal / series
Volume
Pages / Article No.
1364 - 1369
Publisher
IEEE
Event
IEEE International Conference on Communications (ICC 2023)
Edition / version
Methods
Software
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Date collected
Date created
Subject
Training; Array signal processing; Simulation; Distributed databases; Receivers; Interference; Jamming
Organisational unit
09695 - Studer, Christoph / Studer, Christoph
Notes
Conference lecture held on May 29, 2023