DOA Estimation Using Sparse Representation of Beamspace and Element-Space Covariance Differencing
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s00034-021-01846-y.pdf
Reference20 articles.
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2. Y.F. Fang, H.Y. Wang, S.Q. Zhu, Reconstructing DOA estimation in the second-order statistic domain by exploiting matrix completion. Circ. Syst. Sig. Proc. 38, 1–19 (2019)
3. A.B. Gershman, Direction finding using beamspace root estimator banks. IEEE Trans. Sig. Proc. 46, 3131–3135 (1998)
4. Z.Q. He, Q.H. Liu, L.N. Jin, Low complexity method for DOA estimation using array covariance matrix sparse representation. Elect. Lett. 49(3), 228–229 (2013)
5. Z.Q. He, Z.P. Shi, L. Huang, Covariance sparsity-aware DOA estimation for nonuniform noise. Dig. Sig. Proc. 28, 75–81 (2014)
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