Super Resolution Two-Dimensional Direction-of-Arrival Estimation of Uniform Circular Arrays Based on Eigen-Space Transformation 


Vol. 43,  No. 12, pp. 1998-2005, Dec.  2018
10.7840/kics.2018.43.12.1998


PDF
  Abstract

In this paper, a super resolution 2-D DOA estimation method of UCA based on eigen-space transformation is proposed. UCA is widely used in various areas because it has the advantage of estimating 2-D DOA, azimuth and elevation, respectively. The proposed method is performed by using the iterative beamformer that transforms eigen-space of received signal at UCA. The proposed method has lower computational complexity and better performance of DOA estimation than conventional methods such as MVDR, MUSIC, and UCA-ESPRIT. The performances of proposed method are verified by computer simulation.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

Y. Ko, S. Bu, C. Lee, D. Kim, "Super Resolution Two-Dimensional Direction-of-Arrival Estimation of Uniform Circular Arrays Based on Eigen-Space Transformation," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 12, pp. 1998-2005, 2018. DOI: 10.7840/kics.2018.43.12.1998.

[ACM Style]

Yo-han Ko, Sung-chun Bu, Chul-soo Lee, and Do-kyoung Kim. 2018. Super Resolution Two-Dimensional Direction-of-Arrival Estimation of Uniform Circular Arrays Based on Eigen-Space Transformation. The Journal of Korean Institute of Communications and Information Sciences, 43, 12, (2018), 1998-2005. DOI: 10.7840/kics.2018.43.12.1998.

[KICS Style]

Yo-han Ko, Sung-chun Bu, Chul-soo Lee, Do-kyoung Kim, "Super Resolution Two-Dimensional Direction-of-Arrival Estimation of Uniform Circular Arrays Based on Eigen-Space Transformation," The Journal of Korean Institute of Communications and Information Sciences, vol. 43, no. 12, pp. 1998-2005, 12. 2018. (https://doi.org/10.7840/kics.2018.43.12.1998)