In-sector Compressive Beam Alignment for MmWave and THz Radios

no code implementations • 25 Aug 2023 • Hamed Masoumi, Michel Verhaegen, Nitin Jonathan Myers

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.

Compressive Sensing

Analysis of Orthogonal Matching Pursuit for Compressed Sensing in Practical Settings

no code implementations • 8 Feb 2023 • Hamed Masoumi, Michel Verhaegen, Nitin Jonathan Myers

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

no code implementations • 23 May 2022 • Hamed Masoumi, Nitin Jonathan Myers, Geert Leus, Sander Wahls, Michel Verhaegen

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.