Skip to main content
SpringerLink
Log in

Improved Method of Direction Finding for Non Circular Signals with Wavelet Denoising Using Three Parallel Uniform Linear Arrays

  • Published:
Wireless Personal Communications Aims and scope Submit manuscript

Abstract

In this paper, two dimensional direction of arrival (2D-DOA) estimation of non circular signals using three parallel uniform linear arrays is addressed. Wavelet denoising is used as a preprocessing step to improve signal to noise ratio (SNR) of the received noise corrupted signal. Gain improved signal is then used for the 2D angle estimation. In this proposed work, we consider non circular signals where the real and imaginary part of received signal is not a independent random variable, so the imaginary part of the signals is also included, which resembles the real time situation. Thus, the array aperture is enlarged to get improved performance in angle estimation. The simulation results are compared with the existing literature of three parallel uniform linear arrays. The simulation results and analysis show that the proposed method has high accuracy and significant performance. Cramer Rao lower bound has been given for the reference.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. Krim, H., & Viberg, M. (1996). Two decades of array signal processing research: The parametric approach. IEEE Signal Processing Magazine, 13(4), 67–94.

    Article  Google Scholar 

  2. Amador, L. E., Conte, R., & Covarrubias, D. H. (2010). Performance evaluation of planar antenna arrays onboard low earth orbit satellites. AEU-International Journal of Electronics and Communications, 64(4), 377–382.

    Article  Google Scholar 

  3. Chen, Y. M. (1997). On spatial smoothing for two dimensional DOA estimation of coherent signals. IEEE Transactions on Signal Processing, 45(7), 1689–1696.

    Article  Google Scholar 

  4. Ng, B. C., & See, C. M. S. (1996). Sensor-array calibration using a maximum likelihood approach. IEEE Transactions on antennas and Propagation, 44(6), 827–835.

    Article  Google Scholar 

  5. Schmidt, R. O. (1986). Multiple emitter location and signal parameter estimation. IEEE Transactions on antennas and Propagation, 34(3), 276–280.

    Article  Google Scholar 

  6. Tian, Y., & Sun, X. (2014). Passive localization of mixed sources jointly using music and sparse signal reconstruction. AEU-International Journal of Electronics and Communications, 68(6), 534–539.

    Article  MathSciNet  Google Scholar 

  7. Li, J., Zhang, X., & Chen, H. (2008). Novel angle estimation for bistatic MIMO radar using an improved MUSIC. International Journal of Electronics, 62(3), 199–206.

    Google Scholar 

  8. Roy, R., & Kailath, T. (1989). Esprit-estimation of signal parameters via rotational invariance techniques. IEEE Transactions on Acoustics, Speech, and Signal Processing, 37(7), 984–995.

    Article  Google Scholar 

  9. Ma, Y., Chen, B., Yang, M., & Wang, Y. (2015). A novel esprit-based algorithm for doa estimation with distributed subarray antenna. Circuits, Systems, and Signal Processing, 34(9), 2951–2972.

    Article  MathSciNet  Google Scholar 

  10. Marcos, S., Marsal, A., & Benidir, M. (1995). The propagator method for source bearing estimation. Signal Processing, 42(2), 121–138.

    Article  Google Scholar 

  11. Tayem, H., & Kwon, H. M. (2005). L-shape 2-dimensional arrival angle estimation with propagator method. IEEE Transactions on Antennas and Propagation, 53(5), 1622–1630.

    Article  Google Scholar 

  12. Zhang, W., Liu, W., Wang, J., & Wu, S. (2014). Computationally efficient 2-d doa estimation for uniform rectangular arrays. Multidimensional Systems and Signal Processing, 25(4), 847–857.

    Article  Google Scholar 

  13. Wu, Y., Liao, G., & So, H. C. (2003). A fast algorithm for 2-d direction-of-arrival estimation. Signal Processing, 83(8), 1827–1831.

    Article  Google Scholar 

  14. Chen, H., Hou, C., Wang, Q., Huang, L., Yan, W., & Pu, L. (2015). Improved azimuthal/elevation angle estimation algorithm for three-parallel uniform linear arrays. IEEE Antennas and Wireless Propagation Letters, 14, 329–332.

    Article  Google Scholar 

  15. Tayem, H., & Kwon, H. M. (2006). Azimuth and elevation angle estimation with no failure and no eigen decomposition. Signal Processing, 86(1), 8–16.

    Article  Google Scholar 

  16. Zeng, Y., Yang, Y., Lu, G., & Huang, Q. (2014). Fast method for DOA estimation with circular and non circular signals mixed together. Journal of Electrical and Computer Engineering, 2014, 1–7.

    Google Scholar 

  17. Charge, P., Wang, Y., & Saillard, J. (2001). A non-circular sources direction finding method using polynomial rooting. Signal Processing, 81(8), 1765–1770.

    Article  Google Scholar 

  18. Haardt, M., & Omer, F. R. (2004). Enhancements of unitary ESPRIT for non-circular sources. In Proceedings of the IEEE international conference on acoustics, speech, and signal processing (pp. 101–104).

  19. Zhang, L., Lv, W. H., & Zhang, X. F. (2016). 2D-DOA estimation of non circular signals for uniform rectangular array via NC-PARAFAC method. International Journal of Electronics, 103, 1839–1856.

    Article  Google Scholar 

  20. Xu, L., & Wen, F. (2017). Fast noncircular 2D-DOA estimation for rectangular planar array. Sensors, 17(840), 1–15.

    Google Scholar 

  21. Donoho, D. L. (1995). De-noising by soft-thresholding. IEEE Transactions on Information Theory, 41(3), 613–627.

    Article  MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, National Institute of Technology, Tiruchirappalli, 620 015, India

    Kumar Gowri & Ponnusamy Palanisamy

  2. Computational Optics Research Group, Advanced Institute of Materials Science, Ton Duc Thang University, Ho Chi Minh City, Viet Nam

    Iraj Sadegh Amiri

  3. Faculty of Applied Sciences, Ton Duc Thang University, Ho Chi Minh City, Viet Nam

    Iraj Sadegh Amiri

Authors
  1. Kumar Gowri
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Ponnusamy Palanisamy
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Iraj Sadegh Amiri
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding authors

Correspondence to Kumar Gowri or Iraj Sadegh Amiri.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gowri, K., Palanisamy, P. & Amiri, I.S. Improved Method of Direction Finding for Non Circular Signals with Wavelet Denoising Using Three Parallel Uniform Linear Arrays. Wireless Pers Commun 115, 291–305 (2020). https://doi.org/10.1007/s11277-020-07571-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11277-020-07571-0

Keywords

Search

Navigation