Optimized compressive sensing-based direction-of-arrival estimation in massive MIMO

Yujie Gu; Yimin D. Zhang; Nathan A. Goodman

doi:10.1109/icassp.2017.7952743

Optimized compressive sensing-based direction-of-arrival estimation in massive MIMO

Yujie Gu, Yimin D. Zhang, Nathan A. Goodman

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

68 Scopus citations

Abstract

As a new emerging technology for wireless communications, massive multiple-input multiple-output (MIMO) faces a significant challenge to deploy a separate receiver chain of front-end circuits in a dense circuit board. In this paper, we apply the compressive sensing technique to reduce the required number of front-end circuits and the overall computational complexity. Unlike the commonly adopted random projections, we utilize the a priori probability distribution of the directions-of-arrival (DOAs) of the signals to optimize compressive sensing kernels for massive MIMO systems, such that the mutual information between the compressed measurement and the DOA is maximized. With the optimized sensing matrix, we present a compressive sensing spatial spectrum estimator under the minimum variance distortionless response criterion. Simulation results demonstrate performance advantages of the proposed optimal sensing kernel over random sensing kernels.

Original language	English
Title of host publication	2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3181-3185
Number of pages	5
ISBN (Electronic)	9781509041176
DOIs	https://doi.org/10.1109/icassp.2017.7952743
State	Published - 16 Jun 2017
Externally published	Yes
Event	2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - New Orleans, United States Duration: 5 Mar 2017 → 9 Mar 2017

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Conference

Conference	2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017
Country/Territory	United States
City	New Orleans
Period	5/03/17 → 9/03/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

Funding

The work of Y. Gu and Y. D. Zhang is supported in part by the National Science Foundation (NSF) under grant AST-1547420. The work of Y. Gu and N. A. Goodman is supported in part by the Defense Advanced Research Projects Agency (DARPA) via grant #N66001-10-1-4079.

Funders	Funder number
National Science Foundation	1547420, AST-1547420
Defense Advanced Research Projects Agency	66001-10-1-4079

Keywords

Compressive sensing
DOA estimation
kernel optimization
massive MIMO
spatial spectrum

Access to Document

10.1109/icassp.2017.7952743

Cite this

Gu, Y., Zhang, Y. D., & Goodman, N. A. (2017). Optimized compressive sensing-based direction-of-arrival estimation in massive MIMO. In 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings (pp. 3181-3185). Article 7952743 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/icassp.2017.7952743

Gu, Yujie ; Zhang, Yimin D. ; Goodman, Nathan A. / Optimized compressive sensing-based direction-of-arrival estimation in massive MIMO. 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 3181-3185 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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Gu, Y, Zhang, YD & Goodman, NA 2017, Optimized compressive sensing-based direction-of-arrival estimation in massive MIMO. in 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings., 7952743, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 3181-3185, 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017, New Orleans, United States, 5/03/17. https://doi.org/10.1109/icassp.2017.7952743

Optimized compressive sensing-based direction-of-arrival estimation in massive MIMO. / Gu, Yujie; Zhang, Yimin D.; Goodman, Nathan A.
2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. p. 3181-3185 7952743 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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

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Gu Y, Zhang YD, Goodman NA. Optimized compressive sensing-based direction-of-arrival estimation in massive MIMO. In 2017 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2017. p. 3181-3185. 7952743. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/icassp.2017.7952743

Optimized compressive sensing-based direction-of-arrival estimation in massive MIMO

Abstract

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Keywords

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