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Found 11 papers, 0 papers with code
A divide-and-conquer approach for sparse recovery of high dimensional signals
Compressed sensing (CS) techniques demand significant storage and computational resources, when recovering high-dimensional sparse signals.
Sparse Millimeter Wave Channel Estimation From Partially Coherent Measurements
Our method exploits the sparse structure in mmWave channels for low training overhead and accounts for the phase errors in the channel measurements due to phase noise at the oscillator.
In-sector Compressive Beam Alignment for MmWave and THz Radios
The essence of our framework lies in the construction of a low-resolution beam codebook to identify the best sector and in the design of the CS matrix for in-sector channel estimation.
Analysis of Orthogonal Matching Pursuit for Compressed Sensing in Practical Settings
Orthogonal matching pursuit (OMP) is a widely used greedy algorithm for sparse signal recovery in compressed sensing (CS).
Structured Sensing Matrix Design for In-sector Compressed mmWave Channel Estimation
Fast millimeter wave (mmWave) channel estimation techniques based on compressed sensing (CS) suffer from low signal-to-noise ratio (SNR) in the channel measurements, due to the use of wide beams.
Near-field focusing using phased arrays with dynamic polarization control
Phased arrays in near-field communication allow the transmitter to focus wireless signals in a small region around the receiver.
Circulant Shift-based Beamforming for Secure Communication with Low-resolution Phased Arrays
Using simulations, we study the performance of the proposed defense technique against a greedy eavesdropping strategy in a vehicle-to-infrastructure scenario.
Deep Learning-based Compressive Beam Alignment in mmWave Vehicular Systems
We design fully-connected layers to optimize channel acquisition and beam alignment.
Adaptive and Fast Combined Waveform-Beamforming Design for mmWave Automotive Joint Communication-Radar
To rapidly estimate the mmWave automotive radar channel in the Doppler-angle domain with a wide field-of-view, our JCR design employs a few circulant shifts of the transmit beamformer and apply two-dimensional partial Fourier compressed sensing technique.
InFocus: A spatial coding technique to mitigate misfocus in near field LoS beamforming
In this paper, we investigate the misfocus effect and propose InFocus, a low complexity technique to construct beams that are well suited for massive wideband phased arrays.
Site-specific online compressive beam codebook learning in mmWave vehicular communication
Furthermore, based on the CS channel measurements, we develop techniques to update and learn such channel AoD statistics at the BS.
