A space-time coded mills cross MIMO architecture to improve DOA estimation and its performance evaluation by field experiments

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

Tags/Keywords:

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

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