This repository implements a 2D source localization method using the classical MUSIC (Multiple Signal Classification) algorithm under near-field conditions. A Uniform Linear Array (ULA) is used, and the steering vector is modeled via a second-order Taylor approximation to account for wavefront curvature, enabling accurate estimation of both Angle of Arrival and range.
- Antenna Array: Uniform Linear Array (ULA)
- Localization: 2D (AoA + Range) in near-field
- Signal Model: Free-space, Line-of-Sight (LoS)
- Wavefront Modeling: Taylor expansion (2nd order)
- Output: MUSIC pseudo-spectrum over angle and range grid
| File | Description |
|---|---|
main.m |
Main script to execute the MUSIC localization |
music.m |
Core MUSIC algorithm implementation |
responsearray.m |
Constructs the array response using Taylor model |
pseudospectrum.pdf |
Example output of the MUSIC pseudo-spectrum |
README.md |
This documentation |
Below is an example of the MUSIC pseudo-spectrum for a 2D scenario:
The peaks in the spectrum correspond to the estimated positions (AoA, distance) of the sources.
- Near-field effects are captured via second-order phase modeling.
- The array geometry and propagation model are configurable via
responsearray.m.