https://github.com/morriswmz/doa-tools

A set of MATLAB functions for direction-of-arrival (DOA) estimation in array signal processing.
https://github.com/morriswmz/doa-tools

array-signal-processing matlab performance-bound

Last synced: 5 days ago
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A set of MATLAB functions for direction-of-arrival (DOA) estimation in array signal processing.

• Host: GitHub
• URL: https://github.com/morriswmz/doa-tools
• Owner: morriswmz
• License: mit
• Created: 2016-11-09T09:02:43.000Z (about 8 years ago)
• Default Branch: master
• Last Pushed: 2018-11-07T20:47:45.000Z (about 6 years ago)
• Last Synced: 2025-01-22T21:09:47.818Z (13 days ago)
• Topics: array-signal-processing, matlab, performance-bound
• Language: Matlab
• Size: 103 KB
• Stars: 315
• Watchers: 13
• Forks: 91
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

        
## What is `doa-tools`

A set of MATLAB functions for direction-of-arrival (DOA) estimation related

applications, including basic array designs, various DOA estimators, and tools

to compute performance bounds. It serves as a small toolbox for

[my research](http://research.wmz.ninja/research.html)

related to array signal processing.

This repository also contains MATLAB codes that produce figures similar to

those in my papers (may not be exactly the same due to the randomness of Monte

Carlo simulations). You can browse them [here](examples/experiments).

**If somehow you do not have access to MATLAB, you can use the Python version [here](https://github.com/morriswmz/doatools.py).**

## Features

* Several array design and difference coarray related functions.

* Commonly used DOA estimators including MVDR beamformer, MUSIC,

  root-MUSIC, ESPRIT, etc.

* Sparsity-based DOA estimator.

* Functions to compute the [Cramér-Rao bounds](https://en.wikipedia.org/wiki/Cram%C3%A9r%E2%80%93Rao_bound).

* Functions to compute the asymptotic covariance matrix of the estimation errors

  of MUSIC estimators (including difference coarray based).

* Functions to visualize the estimation results.

* Several useful utility functions, including a simple progress bar to

  display the simulation progress.

## Getting started

Run `startup.m` to add `doa-tools` to your MATLAB search path.

Refer to the examples [here](examples/).

## License

The source code is released under the [MIT](LICENSE.md) license.

## Citation

If you find my code helpful. You are welcomed to cite my papers

[here](http://research.wmz.ninja/research.html).