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Found 9 papers, 0 papers with code
Separable multidimensional orthogonal matching pursuit and its application to joint localization and communication at mmWave
Greedy sparse recovery has become a popular tool in many applications, although its complexity is still prohibitive when large sparsifying dictionaries or sensing matrices have to be exploited.
Hybrid mmWave MIMO Systems under Hardware Impairments and Beam Squint: Channel Model and Dictionary Learning-aided Configuration
Low overhead channel estimation based on compressive sensing (CS) has been widely investigated for hybrid wideband millimeter wave (mmWave) multiple-input multiple-output (MIMO) systems.
Multidimensional orthogonal matching pursuit: theory and application to high accuracy joint localization and communication at mmWave
Greedy approaches in general, and orthogonal matching pursuit in particular, are the most commonly used sparse recovery techniques in a wide range of applications.
Low complexity joint position and channel estimation at millimeter wave based on multidimensional orthogonal matching pursuit
Compressive approaches provide a means of effective channel high resolution channel estimates in millimeter wave MIMO systems, despite the use of analog and hybrid architectures.
Joint Initial Access and Localization in Millimeter Wave Vehicular Networks: a Hybrid Model/Data Driven Approach
High resolution compressive channel estimation provides information for vehicle localization when a hybrid mmWave MIMO system is considered.
Multidimensional Orthogonal Matching Pursuit-based RIS-aided Joint Localization and Channel Estimation at mmWave
RIS-aided millimeter wave wireless systems benefit from robustness to blockage and enhanced coverage.
Millimeter Wave Localization with Imperfect Training Data using Shallow Neural Networks
In this work, we propose a shallow neural network model to localize mmWave devices indoors.
A Dynamic Codebook Design for Analog Beamforming in MIMO LEO Satellite Communications
Beamforming gain is a key ingredient in the performance of LEO satellite communication systems to be integrated into cellular networks.
A hybrid beamforming design for massive MIMO LEO satellite communications
5G and future cellular networks intend to incorporate low earth orbit (LEO) satellite communication systems (SatCom) to solve the coverage and availability problems that cannot be addressed by satellite-based or ground-based infrastructure alone.
