A Novel Method for 2D DOA Estimation Based on URA in Massive MIMO Systems

  • Bo Wang
  • Deliang LiuEmail author
  • Dong Han
  • Zhuanghe Zhang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 516)


Massive MIMO is one of the enabling technologies to cope with exponential data growth. It is very crucial for downlink precoding to accurately estimate direction-of-arrival. A lot of work has been done for 2D DOA estimation based on uniform rectangular array. However, in cases that snapshots are severely limited, such as extremely complex communication environment, conventional 2D DOA estimation method cannot work properly. Iterative adaptive approach (IAA) is one of the sparse algorithms which can handle heavy snapshot limitations. In this paper, we propose a novel 2D DOA estimation algorithm based on IAA for massive MIMO systems. Unlike conventional methods, an estimator in this algorithm is updated by previous iteration instead of the snapshots. The iteration ends until convergence. Simulation results demonstrate that the proposed algorithm is superior to conventional methods in low snapshot cases.


2D DOA estimation Massive MIMO Few snapshots 



This work is funded by the National Natural Science Foundation of China under Grant 61601494.


  1. 1.
    Larsson E, Edfors O, Tufvesson F, Marzetta T. Massive MIMO for next generation wireless systems. IEEE Commun Mag. 2014;52(2):186–95.CrossRefGoogle Scholar
  2. 2.
    Yang, K-Y, Wu J-Y, Li W-H. A low-complexity direction-of-arrival estimation algorithm for full-dimension massive MIMO systems. In: 2014 IEEE International Conference on Communication Systems (ICCS). IEEE; 2014. p. 472–6.Google Scholar
  3. 3.
    Meng H, Zheng Z, Yang Y, et al. A Low-complexity 2-D DOA estimation algorithm for massive MIMO systems. In: 2016 IEEE/CIC international conference on communications in China (ICCC). IEEE; 2016. p. 1–5.Google Scholar
  4. 4.
    Kuang J, Zhou Y, FEI Z. Joint DOA and channel estimation with data detection based on 2D unitary ESPRIT in massive MIMO systems. Front Inform Technol Electron Eng. 2017;18(6): 841–9.CrossRefGoogle Scholar
  5. 5.
    Wang T, Ai B, He RS, Zhong ZD. Two-dimension direction-of-arrival estimation for massive MIMO system. IEEE Access. 2015;3:2122–8.CrossRefGoogle Scholar
  6. 6.
    Yardibi T, Li J, Stoica P, et al. Source localization and sensing: a nonparametric iterative adaptive approach based on weighted least squares. IEEE Trans Aerosp Electron Syst. 2010;46(1):425–43.CrossRefGoogle Scholar
  7. 7.
    Nion D, Sidiropoulos ND. Tensor algebra and multidimensional harmonic retrieval in signal processing for MIMO radar. IEEE Trans Signal Process. 2010;58(11):5693–705.MathSciNetCrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • Bo Wang
    • 1
  • Deliang Liu
    • 1
    Email author
  • Dong Han
    • 1
  • Zhuanghe Zhang
    • 1
  1. 1.Army Engineering UniversityShijiazhuangChina

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