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https://github.com/costasak/eusipco2024
Code accompanying "Transmit and Receive Sensor Selection Using the Multiplicity in the Virtual Array" by Ids van der Werf, Costas A. Kokke, Richard Heusdens, Richard C. Hendriks, Geert Leus, and Mario Coutino
https://github.com/costasak/eusipco2024
active-sensing array-processing cramer-rao-bound electrical-engineering eusipco eusipco2024 multiplicity notebook notebook-jupyter paper python radar redundancy sensor-selection signal-processing tno tudelft
Last synced: 2 days ago
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Code accompanying "Transmit and Receive Sensor Selection Using the Multiplicity in the Virtual Array" by Ids van der Werf, Costas A. Kokke, Richard Heusdens, Richard C. Hendriks, Geert Leus, and Mario Coutino
- Host: GitHub
- URL: https://github.com/costasak/eusipco2024
- Owner: CostasAK
- License: gpl-3.0
- Created: 2024-03-11T15:29:03.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2024-08-27T08:05:10.000Z (3 months ago)
- Last Synced: 2024-08-27T09:27:16.608Z (3 months ago)
- Topics: active-sensing, array-processing, cramer-rao-bound, electrical-engineering, eusipco, eusipco2024, multiplicity, notebook, notebook-jupyter, paper, python, radar, redundancy, sensor-selection, signal-processing, tno, tudelft
- Language: Jupyter Notebook
- Homepage: https://eusipco2024.kokke.eu/
- Size: 57.9 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
# Transmit and Receive Sensor Selection Using the Multiplicity in the Virtual Array
[
](https://eusipcolyon.sciencesconf.org)
[](https://zenodo.org/doi/10.5281/zenodo.11963747)
By Ids van der Werf, Costas A. Kokke, Richard Heusdens, Richard C. Hendriks, Geert Leus, and Mario Coutino.
Code accompanying our submission to the 32nd European Signal Processing Conference (EUSIPCO 2024).
## Abstract
> The main focus of this paper is an active sensing application that involves selecting transmit and receive sensors to optimize the Cramér-Rao bound (CRB) on target parameters. Although the CRB is non-convex in the transmit and receive selection, we demonstrate that it is convex in the virtual array weight vector, which describes the multiplicity of the virtual array elements. Based on this finding, we propose a novel algorithm that optimizes the virtual array weight vector first and then finds a matching transceiver array. This greatly enhances the efficiency of the transmit and receive sensor selection problem.
## Viewing
The notebook can be viewed online by opening it in nbviewer or Google Colab.
[](https://nbviewer.org/github/CostasAK/eusipco2024/blob/main/main.ipynb)
[](https://colab.research.google.com/github/CostasAK/eusipco2024/blob/main/main.ipynb)
## Usage
Tested using Pipenv and Jupyter in Visual Studio Code on Ubuntu 22.04. Additionally, XeLaTeX was used to generate the figures.
1. `git clone` this repository and `cd` into the directory.
2. (optional) `export PIPENV_VENV_IN_PROJECT=1` to install Pipenv virtual environments into the current project folder.
3. `pipenv install`.
4. Open this folder in Visual Studio Code.
5. Install the workspace recommended extension.
6. Open `main.ipynb`.
Alternatively, you can try and run a Jupyter server manually, or use Google Colab.
## Author(s)
This software has been developed by
Costas A. Kokke [](https://orcid.org/0009-0005-8545-5702), Technische Universiteit Delft
## License
The contents are licensed under a GPL-3.0 license
Copyright notice:
Technische Universiteit Delft hereby disclaims all copyright interest in the program `eusipco2024`, written by the Author(s).
Lucas van Vliet, Dean of Faculty of Electrical Engineering, Mathematics and Computer Science, Technische Universiteit Delft.