Introduce Beamforming Ideas

Goal

This MR introduces a beamforming algorithm based on Sigmoid Decomposition. Beamforming is a signal processing technique used in multi-sensor perception systems for directional sensing. By combining elements in a sensor array through the precise control of the phase and amplitude of the signal at each sensor, beamforming enhances the received signal power in desired directions and suppresses it in others, thereby allowing for directional sensing.

By using spatial filtering (or directional sensing) with Sigmoid Decomposition, I aim to improve the performance of TDOA-based localizers.

Tasks

• Check the correspondence between the extracted sigmoids
• Estimate the spatial covariance matrix \vec{R} by using the weights of the extracted sigmoids

Issues