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Two-Dimensional Angle Estimation for Massive Multiple-Input and Multiple-Output System Based on Hybrid Domain Coding

Rui-Jin Ma,
Hui-Sheng Zhang,

Abstract


This paper aims to reduce the complexity of angle estimation in massive multiple-input and multiple-output (MIMO) systems. For this purpose, the hybrid domain coding was adopted to reduce the dimension of the received signal, and thus the computing load to find the inverse matrix. To improve the vector estimation accuracy of sub-array signal space, a new estimation method of signal parameters via rotational invariant techniques (ESPRIT) was proposed based on hybrid domain coding and the least squares (LS) method. The direction of arrival equation is also derived. Finally, the root-mean-square error (RMSE) and runtime of the proposed method were compared with those of some other methods through simulation. The results verify the effectiveness and reliability of the algorithm. The research findings lay the basis for accurate channel estimation of massive MIMO systems.


Citation Format:
Rui-Jin Ma, Hui-Sheng Zhang, "Two-Dimensional Angle Estimation for Massive Multiple-Input and Multiple-Output System Based on Hybrid Domain Coding," Journal of Internet Technology, vol. 19, no. 5 , pp. 1535-1541, Sep. 2018.

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Published by Executive Committee, Taiwan Academic Network, Ministry of Education, Taipei, Taiwan, R.O.C
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