Efficient DOA Estimation for Coprime Array via Inverse Discrete Fourier Transform

Zongyu Zhang; Chengwei Zhou; Yujie Gu; Zhiguo Shi

doi:10.1109/icdsp.2018.8631705

Efficient DOA Estimation for Coprime Array via Inverse Discrete Fourier Transform

Zongyu Zhang, Chengwei Zhou, Yujie Gu, Zhiguo Shi

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

In this paper, we propose an inverse discrete Fourier transform (IDFT)-based direction-of-arrival (DOA) estimation algorithm for coprime array, where both DOAs and power of the sources can be efficiently estimated with an increased number of degrees-of-freedom. Specifically, the IDFT is generalized to realize the transformation between the defined angular-spatial domain and the spatial domain. With such a relationship, the IDFT is directly implemented on the second-order virtual signals characterized by the angular-spatial frequencies, and it is proved that both the DOAs and the sources power can be estimated from the resulting spatial response. Meanwhile, the window method and the zero-padding technique are sequentially incorporated to alleviate the spectral leakage and improve the estimation accuracy, respectively. The direct IDFT solution presents a remarkably reduced computational complexity as compared to the existing algorithms exploiting coprime array, and the simulation results validate the effectiveness of the proposed DOA estimation algorithm.

Original language	English
Title of host publication	2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538668115
DOIs	https://doi.org/10.1109/icdsp.2018.8631705
State	Published - 2 Jul 2018
Externally published	Yes
Event	23rd IEEE International Conference on Digital Signal Processing, DSP 2018 - Shanghai, China Duration: 19 Nov 2018 → 21 Nov 2018

Publication series

Name	International Conference on Digital Signal Processing, DSP
Volume	2018-November

Conference

Conference	23rd IEEE International Conference on Digital Signal Processing, DSP 2018
Country/Territory	China
City	Shanghai
Period	19/11/18 → 21/11/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Funding

This work was supported by National Natural Science Foundation of China (No. 61772467), Zhejiang Provincial Natural Science Foundation (No. LR16F010002), 973 Project (No. 2015CB352503), and the Fundamental Research Funds for Central Universities (No. 2017XZZX009-01).

Funders	Funder number
973 Project	2015CB352503
National Natural Science Foundation of China	61772467
Natural Science Foundation of Zhejiang Province	LR16F010002
Fundamental Research Funds for the Central Universities	2017XZZX009-01

Keywords

Angular-spatial domain
coprime array
direction-of-arrival estimation
inverse discrete Fourier transform

Access to Document

10.1109/icdsp.2018.8631705

Cite this

Zhang, Z., Zhou, C., Gu, Y., & Shi, Z. (2018). Efficient DOA Estimation for Coprime Array via Inverse Discrete Fourier Transform. In 2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018 Article 8631705 (International Conference on Digital Signal Processing, DSP; Vol. 2018-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/icdsp.2018.8631705

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title = "Efficient DOA Estimation for Coprime Array via Inverse Discrete Fourier Transform",

abstract = "In this paper, we propose an inverse discrete Fourier transform (IDFT)-based direction-of-arrival (DOA) estimation algorithm for coprime array, where both DOAs and power of the sources can be efficiently estimated with an increased number of degrees-of-freedom. Specifically, the IDFT is generalized to realize the transformation between the defined angular-spatial domain and the spatial domain. With such a relationship, the IDFT is directly implemented on the second-order virtual signals characterized by the angular-spatial frequencies, and it is proved that both the DOAs and the sources power can be estimated from the resulting spatial response. Meanwhile, the window method and the zero-padding technique are sequentially incorporated to alleviate the spectral leakage and improve the estimation accuracy, respectively. The direct IDFT solution presents a remarkably reduced computational complexity as compared to the existing algorithms exploiting coprime array, and the simulation results validate the effectiveness of the proposed DOA estimation algorithm.",

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

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Zhang, Z, Zhou, C, Gu, Y & Shi, Z 2018, Efficient DOA Estimation for Coprime Array via Inverse Discrete Fourier Transform. in 2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018., 8631705, International Conference on Digital Signal Processing, DSP, vol. 2018-November, Institute of Electrical and Electronics Engineers Inc., 23rd IEEE International Conference on Digital Signal Processing, DSP 2018, Shanghai, China, 19/11/18. https://doi.org/10.1109/icdsp.2018.8631705

Efficient DOA Estimation for Coprime Array via Inverse Discrete Fourier Transform. / Zhang, Zongyu; Zhou, Chengwei; Gu, Yujie et al.
2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8631705 (International Conference on Digital Signal Processing, DSP; Vol. 2018-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Efficient DOA Estimation for Coprime Array via Inverse Discrete Fourier Transform

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