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Opportunistic Sensing Using mmWave Communication Signals: A Subspace Approach

Emanuele Grossi, Marco Lops, Antonia M. Tulino, Luca Venturino

2021IEEE Transactions on Wireless Communications24 citationsDOI

Abstract

In this work, we study the joint detection and localization of multiple delay- and Doppler-spread targets through an opportunistic radar exploiting mmWave communication signals. The problem is formulated as the identification of an unknown number of active subspaces in a large family of subspaces, accounting for the possible positions of potential targets in the delay-Doppler domain: the resulting testing problem is composite and multi-hypothesis. At first, we derive a solution based on the generalized information criterion (GIC), whose complexity is however prohibitive; then, we propose an approximated form of the GIC-based receiver and derive two iterative data-adaptive strategies, both extracting and eliminating the superimposed back-scattered subspace signals one-by-one. Leveraging the IEEE 802.11ad standard, a short-range low-mobility application is discussed to validate the merits of the proposed procedures in terms of detection and localization capabilities, robustness to multi-target interference, and achievable resolution.

Topics & Concepts

Computer scienceRobustness (evolution)Linear subspaceSubspace topologyAlgorithmRadarDoppler effectTelecommunicationsArtificial intelligenceMathematicsAstronomyPhysicsGeneChemistryBiochemistryGeometryRadar Systems and Signal ProcessingWireless Signal Modulation ClassificationIndoor and Outdoor Localization Technologies
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