Abstract
In this paper, we focus on the problem of joint direction-of-departure (DOD) and two-dimensional (2D) direction-of-arrival (DOA) estimation in massive multiple-input multiple-output (MIMO) systems. A novel method for angle estimation is proposed with automatic pairing. The method transforms the element space into the beamspace by employing the property of conjugate centrosymmetric array, such that the angle estimation operates only on the real-valued computation. Then, we utilize the real-valued rotational invariance relationships in beamspace to estimate DOD and 2D DOA in a fresh fashion. Numerical results show that the proposed algorithm provides reduced computational complexity without the loss of estimation accuracy owing to real-valued processing, automatic pairing and computation dimension reduction in massive MIMO systems.
This work was supported in part by Ericsson and by the National Natural Science Foundation of China under Grant No. 61371075.
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References
Hossain, E., Hasan, M.: 5G cellular: key enabling technologies and research challenges. IEEE Instrum. Measur. Mag. 18(3), 11–21 (2015)
Marzetta, T.L.: Noncooperative cellular wireless with unlimited numbers of base station antennas. IEEE Trans. Wirel. Commun. 9(11), 3590–3600 (2010)
Rusek, F., Persson, D., Lau, B.K., et al.: Scaling up MIMO: opportunities and challenges with very large arrays. IEEE Sig. Process. Mag. 30(1), 40–60 (2013)
Yao, B., Wang, W., Yin, Q.: DOD and DOA estimation in bistatic non-uniform multiple-input multiple-output radar systems. IEEE Commun. Lett. 16(11), 1796–1799 (2012)
Chan, K.W., So, H.C., Huang, L., Huang, L.T.: Parameter estimation and identifiability in bistatic multiple-input multiple-output radar. IEEE Trans. Aeros. Electro. Syst. 51(3), 2047–2056 (2015)
Zhang, X., Xu, L., Xu, L., Xu, D.: Direction of departure (DOD) and direction of arrival (DOA) estimation in MIMO radar with reduced-dimension MUSIC. IEEE Commun. Lett. 14(12), 1161–1163 (2010)
Chen, D., Chen, B., Qin, G.: Angle estimation using ESPRIT in MIMO radar. Electron. Lett. 44(12), 770–771 (2008)
Guo, Y.D., Zhang, Y.S., Tong, N.N.: Beamspace ESPRIT algorithm for bistatic MIMO radar. Electron. Lett. 47(15), 876–878 (2011)
Chen, J., Gu, H., Su, W.: Angle estimation using ESPRIT without pairing in MIMO radar. Electron. Lett. 44(24), 1422–1423 (2008)
Li, J., Jiang, H., Wei, Y.: DOD-DOA-polarization estimation in large MIMO radar system based on random matrix theory. In: IEEE International Conference on Computational Intelligence and Communication Technology (CICT), Ghaziabad, India, pp. 334–338, February 2015
Jiang, H., Wang, D., Liu, C.: Estimation of DOD and 2D-DOA and polarizations for bistatic MIMO radar. In: IEEE 19th Annual Wireless and Optical Communications Conference (WOCC), Shanghai, China, May 2010
Zoltowski, M.D., Haardt, M., Mathews, C.P.: Closed-form 2D angle estimation with rectangular arrays in element space or beamspace via unitary ESPRIT. IEEE Trans. Sig. Process. 44(2), 316–328 (1996)
Zhu, Y., Liu, L., Wang, A., Sayana, K., Zhang, J.: DoA estimation and capacity analysis for 2D active massive MIMO systems. In: IEEE International Conference on Communications (ICC), Budapest, Hungary, January 2013
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhou, Y., Ji, X., Dai, M. (2018). Joint Direction-of-Departure and Two-Dimensional Direction-of-Arrival Estimation with Automatic Pairing in Massive MIMO Systems. In: Li, B., Shu, L., Zeng, D. (eds) Communications and Networking. ChinaCom 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 236. Springer, Cham. https://doi.org/10.1007/978-3-319-78130-3_4
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DOI: https://doi.org/10.1007/978-3-319-78130-3_4
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