An IDFT approach for coprime array direction-of-arrival estimation

Zongyu Zhang; Chengwei Zhou; Yujie Gu; Jinfang Zhou; Zhiguo Shi

doi:10.1016/j.dsp.2019.05.006

An IDFT approach for coprime array direction-of-arrival estimation

Zongyu Zhang, Chengwei Zhou, Yujie Gu, Jinfang Zhou, Zhiguo Shi

Research output: Contribution to journal › Article › peer-review

26 Scopus citations

Abstract

In massive multiple-input multiple-output (MIMO) systems, efficiently estimating both the direction-of-arrival (DOA) and the source power with an increased number of degrees-of-freedoms (DOFs) is important but challenging. Aiming at this, we introduce the framework of coprime array signal processing into massive MIMO system and propose an efficient inverse discrete Fourier transform (IDFT)-based DOA estimation algorithm in this paper. By implementing IDFT on the second-order virtual array signals characterized by the equivalent spatial frequency, it is proved that the resulting spatial response enables to effectively estimate both DOA and source power with an increased number of DOFs. Meanwhile, the window method and the zero-padding technique are sequentially considered to alleviate the spectral leakage phenomenon and improve the DOA estimation accuracy. Compared with the existing coprime array DOA estimation algorithms, the implementation of IDFT indicates a remarkably reduced computational complexity as well as the hardware overhead. Simulation results show the effectiveness of the proposed algorithm.

Original language	English
Pages (from-to)	45-55
Number of pages	11
Journal	Digital Signal Processing: A Review Journal
Volume	94
DOIs	https://doi.org/10.1016/j.dsp.2019.05.006
State	Published - Nov 2019
Externally published	Yes

Bibliographical note

Publisher Copyright:
© 2019 Elsevier Inc.

Funding

This work was supported by National Key R&D Program of China (No. 2018YFB1702101 ), National Natural Science Foundation of China (No. 61772467 ), Zhejiang Provincial Natural Science Foundation of China (No. LR16F010002 ), China Postdoctoral Science Foundation (No. 2018M642431 ), and the Fundamental Research Funds for Central Universities (No. 2019FZA5006 ). This work was supported by National Key R&D Program of China (No. 2018YFB1702101), National Natural Science Foundation of China (No. 61772467), Zhejiang Provincial Natural Science Foundation of China (No. LR16F010002), China Postdoctoral Science Foundation (No. 2018M642431), and the Fundamental Research Funds for Central Universities (No. 2019FZA5006).

Funders	Funder number
National Key R&D Program of China
Zhejiang Provincial Natural Science Foundation of China
National Natural Science Foundation of China	61772467
China Postdoctoral Science Foundation	2018M642431
Natural Science Foundation of Zhejiang Province	LR16F010002
National Key Research and Development Program of China	2018YFB1702101
Fundamental Research Funds for the Central Universities	2019FZA5006

Keywords

Coprime array
Direction-of-arrival estimation
Equivalent spatial frequency
Inverse discrete Fourier transform

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10.1016/j.dsp.2019.05.006

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title = "An IDFT approach for coprime array direction-of-arrival estimation",

abstract = "In massive multiple-input multiple-output (MIMO) systems, efficiently estimating both the direction-of-arrival (DOA) and the source power with an increased number of degrees-of-freedoms (DOFs) is important but challenging. Aiming at this, we introduce the framework of coprime array signal processing into massive MIMO system and propose an efficient inverse discrete Fourier transform (IDFT)-based DOA estimation algorithm in this paper. By implementing IDFT on the second-order virtual array signals characterized by the equivalent spatial frequency, it is proved that the resulting spatial response enables to effectively estimate both DOA and source power with an increased number of DOFs. Meanwhile, the window method and the zero-padding technique are sequentially considered to alleviate the spectral leakage phenomenon and improve the DOA estimation accuracy. Compared with the existing coprime array DOA estimation algorithms, the implementation of IDFT indicates a remarkably reduced computational complexity as well as the hardware overhead. Simulation results show the effectiveness of the proposed algorithm.",

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author = "Zongyu Zhang and Chengwei Zhou and Yujie Gu and Jinfang Zhou and Zhiguo Shi",

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An IDFT approach for coprime array direction-of-arrival estimation

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