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Nyquist Sampling and Degrees of Freedom of Electromagnetic Fields

Andrea Pizzo, Andrea de Jesus Torres, Luca Sanguinetti, Thomas L. Marzetta

2022IEEE Transactions on Signal Processing73 citationsDOIOpen Access PDF

Abstract

A signal space approach is presented to study the Nyquist sampling, degrees of freedom and reconstruction of electromagnetic fields under non-line-of-sight conditions. Conventional signal processing tools, such as the multidimensional sampling theorem and Fourier transform, are used to provide a linear system-theoretic interpretation of wave propagation, thereby revealing the spatially bandlimited nature of electromagnetic fields. Their spatial bandwidth is dictated by the selectivity of the underlying scattering that allows establishing the Nyquist sampling in the spatial domain with a reduction of the number of fields’ samples needed to be processed, a situation of high interest for mmWave and terahertz frequencies.

Topics & Concepts

BandlimitingNyquist–Shannon sampling theoremSampling (signal processing)Coherent samplingFrequency domainNyquist frequencyFourier transformBandwidth (computing)Nonuniform samplingDegrees of freedom (physics and chemistry)Nyquist rateMathematicsSignal processingAlgorithmElectromagnetic fieldComputer scienceTelecommunicationsPhysicsMathematical analysisRadarDetectorQuantum mechanicsQuantization (signal processing)Electromagnetic Compatibility and MeasurementsMicrowave Imaging and Scattering AnalysisTerahertz technology and applications