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Sparsity-based DOA estimation using co-prime arrays
Abstract
In this paper, we propose co-prime arrays for effective direction-of-arrival (DOA) estimation. To fully utilize the virtual aperture achieved in the difference co-array constructed from a co-prime array structure, sparsity-based spatial spectrum estimation technique is exploited. Compared to existing techniques, the proposed technique achieves better utilization of the co-array aperture and thus results in increased degrees-of-freedom as well as improved DOA estimation performance.
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Cites
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SPICE: A Sparse Covariance-Based Estimation Method for Array Processing
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Cited by
A Robust and Efficient Algorithm for Coprime Array Adaptive Beamforming
Zhou, C., Gu, Y., He, S., & Shi, Z. (2018) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2017.2704610 · Cited by 382
Metadata
- Authors
- Zhang, Y. D., Amin, M. G., & Himed, B.
- Venue
- 2013 IEEE International Conference on Acoustics, Speech and Signal Processing
- Publisher
- IEEE
- Published
- 2013-05
- Pages
- 3967-3971
- ISSN
- 1520-6149 (ISSN-L)
- OpenAlex
- W2085910483
- Cited by
- 384
- References
- 10
- FWCI
- 18.64
- Type
- conference paper
- Language
- en
- Open access
- closed
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