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- W2944752001 abstract "The problem of low-complexity direction-of-arrival (DOA) estimation without knowing sources number is addressed. Real/imaginary-part of array covariance matrix (ACM) can be remodeled as a whole ACM of signal received by virtual array aimed at fast DOA estimate. Based on such a virtual signal model, a novel real/imaginary-part Capon (R/I-Capon) involving the inverse of only the real/imaginary-part of the estimated ACM (EACM) is derived. In-depth insights are provided to prove that the rank of real/imaginary-part of EACM is always equal or greater than that of whole EACM, which indicates that R/I-Capon exceeds conventional Capon under the circumstance with small numbers of snapshots. Further discussion indicates that R/I-Capon is also capable of decreasing about (75%) complexity with any array structures, which shows an enforcement advantage over state-of-the-art prototype methods. Simulations are finally conducted to verify theoretical analysis and to show practicability of proposed algorithm." @default.
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- W2944752001 date "2019-01-01" @default.
- W2944752001 modified "2023-10-06" @default.
- W2944752001 title "R/I-Capon for Low-Complexity Direction of Arrival Estimation with Real-Valued Computation" @default.
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- W2944752001 doi "https://doi.org/10.1007/978-3-030-19153-5_50" @default.
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