EOGSBI_NC_DPD

MATLAB implementation of the algorithm from:

Li, J., Dong, X., Shi, X., & Zhang, X. (2024). An enhanced direct position determination of non-circular sources via sparse Bayesian inference and grid refinement strategy. Digital Signal Processing, 151, 104564.

Here is the link of DOI.

📝 Description

This repository contains MATLAB code for an efficient Direct Position Determination (DPD) method to locate non-circular sources via:

• Sparse Bayesian Inference (SBI)
• Two-Dimensional Grid Refinement Strategy

This algorithm achieves improved computational efficiency through the proposed strategy.

🧩 File Structure

│
├── EOGSBI_NC_DPD.m       # Main algorithm function
├── peaks2.m              # Peak detection subfunction
├── new_allGps.m          # Grid processing subfunction
├── gnrGps.m              # Grid refinement subfunction
└── README.md             # This documentation

📚 Recommended Alternatives

For broader applications, consider these reproduced codebases (see References in my paper): [SBL-AOA-Local.m] [OffG-SBI-DPD]

📜 Citation

If this work contributes to your research, please cite:

@article{li2024enhanced,
  title={An enhanced direct position determination of non-circular sources via sparse Bayesian inference and grid refinement strategy},
  author={Li, Jiaqi and Dong, Xudong and Shi, Xinlei and Zhang, Xiaofei},
  journal={Digital Signal Processing},
  volume={151},
  pages={104564},
  year={2024},
  publisher={Elsevier}
}

🙏 Acknowledgments

Special thanks to the array signal processing community for their open-source contributions that advance research in this field. Additionally, We thank Zhilin Zhang for sharing the original code implementation in his homepage.