Dataset for Bluetooth 5.1 Direction of Arrival with non Uniform Rectangular Arrays

Area of Science:

• Wireless communication
• Signal processing
• Antenna theory

Background:

• Accurate direction of arrival (DoA) estimation is crucial for wireless systems.
• Existing datasets lack the complexity of real-world Bluetooth environments.
• Development of robust DoA algorithms requires comprehensive and realistic data.

Purpose of the Study:

• To present a novel dataset for Bluetooth 5.1 direction of arrival (DoA) estimation.
• To provide a foundation for developing and validating DoA algorithms in practical scenarios.
• To offer a flexible resource with included source code for custom signal and array modifications.

Main Methods:

• Generation of a dataset using a mathematical model of a non-uniform rectangular antenna array.
• Inclusion of Bluetooth signals with varying additive white Gaussian noise (AWGN).
• Incorporation of coherent interfering signals with random DoA coordinates.

Main Results:

• A dataset comprising two branches: pure sinusoidal tones and baseband Bluetooth signals.
• Provision of Python source files used for dataset generation.
• Dataset designed to simulate complex real-life radio frequency conditions.

Conclusions:

• The presented dataset offers high reuse potential for DoA algorithm research.
• The included codebase allows for adaptation to different signal types and antenna configurations.
• This resource facilitates advancements in Bluetooth 5.1 DoA estimation technology.