Hybrid Beamforming for IoT Sensor Communications

This code simulates a hybrid beamforming technique for IoT sensor communication applications.
340 téléchargements
Mise à jour 24 avr. 2023

Afficher la licence

The code consists of three main steps: channel estimation, hybrid beamforming, and performance evaluation. In the channel estimation step, the code generates a pilot signal, transmits it through a randomly generated channel matrix, and estimates the channel using the received pilot signal. In the hybrid beamforming step, the input signal is processed by applying analog and digital beamforming sequentially. Analog beamforming weights are computed based on the desired direction and applied to the input signal. Then, digital beamforming weights are calculated using the estimated channel matrix and desired direction, and applied to the analog beamformed signal. The performance evaluation step computes and visualizes the signal-to-noise ratio (SNR) of the received digital beamformed signal. The code also includes functions for channel estimation, analog beamforming, and digital beamforming, which provide modular and reusable components for implementing the hybrid beamforming technique.

Citation pour cette source

Ardavan Rahimian (2024). Hybrid Beamforming for IoT Sensor Communications (https://www.mathworks.com/matlabcentral/fileexchange/128413-hybrid-beamforming-for-iot-sensor-communications), MATLAB Central File Exchange. Récupéré le .

Compatibilité avec les versions de MATLAB
Créé avec R2023a
Compatible avec toutes les versions
Plateformes compatibles
Windows macOS Linux
Tags Ajouter des tags

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!
Version Publié le Notes de version
1.0