Investigations on the Performance Comparison of Co-Prime Array with and without interpolation for DOA Estimation
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How to Cite

ch, Lokesh Dharma Theja, and Kishore Kumar Puli. 2023. “Investigations on the Performance Comparison of Co-Prime Array With and Without Interpolation for DOA Estimation”. IRO Journal on Sustainable Wireless Systems 5 (1): 1-16. https://doi.org/10.36548/jsws.2023.1.001.

Keywords

— sparse arrays
— Co-Prime Array (CPA)
— holes
— difference coarray
— interpolation techniques
— coarray MUSIC
— ESPRIT
Published: 09-03-2023

Abstract

The sparse arrays have recently attracted a lot of attention in the last decade, due to their ability to find more sources than sensors present in an array configuration. There might be some sparse arrays which might have holes in their difference coarray, and different interpolation techniques are used to fill these holes. In this paper, the comparison of estimation performances using RMSE vs SNR plots of co-prime array before and after interpolation are analyzed using both coarray MUSIC and ESPRIT algorithms.

References

  1. X. Wang, X. Wang, and X. Lin, “Co-prime array processing with sum and difference co-array,” in 2015 49th Asilomar Conference on Signals, Systems and Computers, 2015, pp. 380–384.
  2. R. Rajamaki and V. Koivunen, “Co-array music under angle-independent ¨ nonidealities,” in 2020 54th Asilomar Conference on Signals, Systems, and Computers, 2020, pp. 230–235.
  3. J. Li, M. Shen, and D. Jiang, “Doa estimation based on combined esprit for co-prime array,” in 2016 IEEE 5th Asia-Pacific Conference on Antennas and Propagation (APCAP), 2016, pp. 117–118.
  4. X. Wang and X. Wang, “Hole identification and filling in k-times extended co-prime arrays for highly efficient doa estimation,” IEEE Transactions on Signal Processing, vol. 67, no. 10, pp. 2693–2706, 2019.
  5. W. Zheng, X. Zhang, J. Li, and J. Shi, “Extensions of co-prime array for improved doa estimation with hole filling strategy,” IEEE Sensors Journal, vol. 21, no. 5, pp. 6724–6732, 2021.
  6. X. Shi and Y. Ju, “A new approach to estimate doa using virtual interpolation technique,” in 2008 9th International Conference on Signal Processing, 2008, pp. 179–182.
  7. S. M. Hosseini and M. A. Sebt, “Array interpolation using covariance matrix completion of minimum-size virtual array,” IEEE Signal Processing Letters, vol. 24, no. 7, pp. 1063–1067, 2017.
  8. C.-L. Liu, P. P. Vaidyanathan, and P. Pal, “Coprime coarray interpolation for doa estimation via nuclear norm minimization,” in 2016 IEEE International Symposium on Circuits and Systems (ISCAS), 2016, pp. 2639–2642.
  9. J. Fu, X. Li, and J. Huang, “Research on array interpolation,” in 2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011, pp. 2315–2318.
  10. X. Zhou, F. Zhu, Y. Jiang, X. Zhou, W. Tan, and M. Huang, “The simulation analysis of doa estimation based on music algorithm,” in 2020 5th International Conference on Mechanical, Control and Computer Engineering (ICMCCE), 2020, pp. 1483–1486.
  11. C.-L. Liu and P. P. Vaidyanathan, “Remarks on the spatial smoothing step in coarray music,” IEEE Signal Processing Letters, vol. 22, no. 9, pp. 1438–1442, 2015.
  12. A. Patwari, Sparse Linear Antenna Arrays. IntechOpen, 2021.
  13. N. L and P. K. Kumar, "Performance Analysis of Sparse Array Using Compressive Sensing in A Closed Multi-Path Environment," 2022 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON), Bangalore, India, 2022, pp. 1413-1417, doi: 10.1109/MAPCON56011.2022.10046420.
  14. L. Dharma Theja ch, L. Nagaraju and K. Kumar Puli, "Classification based DOA estimation using ANN and CNN Models," 2022 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON), Bangalore, India, 2022, pp. 1470-1473, doi: 10.1109/MAPCON56011.2022.10047297.
  15. L. S. L. Sowjanya and P. K. Kumar, "Performance comparison of DAS and BP algorithms for Synthetic Aperture Radar Imaging," 2022 IEEE Microwaves, Antennas, and Propagation Conference (MAPCON), Bangalore, India, 2022, pp. 1726-1731, doi: 10.1109/MAPCON56011.2022.10047698.