FFT-Based DOA Estimation for Coprime MIMO Radar: A Hardware-Friendly Approach

Zongyu Zhang; Chengwei Zhou; Yujie Gu; Zhiguo Shi

doi:10.1109/icdsp.2018.8631621

FFT-Based DOA Estimation for Coprime MIMO Radar: A Hardware-Friendly Approach

Zongyu Zhang, Chengwei Zhou, Yujie Gu, Zhiguo Shi

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

13 Scopus citations

Abstract

In this paper, we present a fast Fourier transform (FFT)-based direction-of-arrival (DOA) estimation algorithm for coprime multiple-input multiple-output (MIMO) radar, where both the performance and the system overhead are well balanced. The coprime arrays are deployed in the framework of MIMO radar for sparse sensing, where an augmented virtual array can be generated from the difference coarray of sum coarray (DCSC) perspective. By implementing FFT on the second-order DCSC signals, it is shown that the DOAs can be retrieved from the resulting spatial response with an improved resolution. Moreover, neither the complex matrix operations nor the optimization problems are involved, indicating the efficient and hardware-friendly characteristic. Simulation results demonstrate the performance superiorities of the proposed 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.2018.8631621
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

ACKNOWLEDGMENT 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
National Natural Science Foundation of China	61772467
Natural Science Foundation of Zhejiang Province	LR16F010002
National Key Research and Development Program of China	2015CB352503
Fundamental Research Funds for the Central Universities	2017XZZX009-01

Keywords

Coprime MIMO radar
DOA estimation
efficiency
fast Fourier transform
hardware-friendly

Access to Document

10.1109/icdsp.2018.8631621

Cite this

Zhang, Z., Zhou, C., Gu, Y., & Shi, Z. (2018). FFT-Based DOA Estimation for Coprime MIMO Radar: A Hardware-Friendly Approach. In 2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018 Article 8631621 (International Conference on Digital Signal Processing, DSP; Vol. 2018-November). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/icdsp.2018.8631621

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title = "FFT-Based DOA Estimation for Coprime MIMO Radar: A Hardware-Friendly Approach",

abstract = "In this paper, we present a fast Fourier transform (FFT)-based direction-of-arrival (DOA) estimation algorithm for coprime multiple-input multiple-output (MIMO) radar, where both the performance and the system overhead are well balanced. The coprime arrays are deployed in the framework of MIMO radar for sparse sensing, where an augmented virtual array can be generated from the difference coarray of sum coarray (DCSC) perspective. By implementing FFT on the second-order DCSC signals, it is shown that the DOAs can be retrieved from the resulting spatial response with an improved resolution. Moreover, neither the complex matrix operations nor the optimization problems are involved, indicating the efficient and hardware-friendly characteristic. Simulation results demonstrate the performance superiorities of the proposed algorithm.",

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Zhang, Z, Zhou, C, Gu, Y & Shi, Z 2018, FFT-Based DOA Estimation for Coprime MIMO Radar: A Hardware-Friendly Approach. in 2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018., 8631621, 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.2018.8631621

FFT-Based DOA Estimation for Coprime MIMO Radar: A Hardware-Friendly Approach. / 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. 8631621 (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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FFT-Based DOA Estimation for Coprime MIMO Radar: A Hardware-Friendly Approach

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