Last Updated:

21/08/2020 - 14:40

The research article “A space-time coded mills cross MIMO architecture to improve DOA estimation and its performance evaluation by field experiments”, co-authored by METU members Prof. Çaǧatay Candan and Prof. Tolga Çiloğlu has been published in IEEE Transactions on Aerospace and Electronic Systems.

Conventional Mills Cross architecture suffers from poor direction-of-arrival angle estimation accuracy in the dimension that the transmitter is aligned. To improve the estimation accuracy, a space-time coded, multiple-input multiple-output (MIMO) direction finding method, with complementary codes is presented. The performance of the suggested MIMO Mills Cross architecture has been evaluated by underwater field experiments. Field experiments confirm the feasibility of the proposed approach and illustrate the performance gains. Since the proposed approach does not require any changes in the conventional Mills Cross hardware, the performance improvement can also be realized by a software reconfiguration for existing legacy systems.


Ungan, C. U., Candan, C., & Ciloglu, T. (2020). A space-time coded mills cross MIMO architecture to improve DOA estimation and its performance evaluation by field experiments. IEEE Transactions on Aerospace and Electronic Systems, 56(3), 1807-1818. doi:10.1109/TAES.2019.2952480

 

Article access: https://ieeexplore.ieee.org/abstract/document/8894430


METU Authors

Prof. Çaǧatay Candan

Web of Science/Publons Researcher ID: D-1380-2010
ccandan@metu.edu.tr Scopus Author ID: 6701380220
About the author ORCID: 0000-0001-9106-0540

Prof. Tolga Çiloğlu

ciltolga@metu.edu.tr Scopus Author ID: 16229315800
About the author ORCID: 0000-0002-9703-5861

Tags/Keywords:

Direction-of-arrival (DOA) estimation, multiple-input multiple-output (MIMO), sonar, space-time codes


Other authors:
Ungan, C.U. (METU)