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A 3-D spatial-temporal near-field parameter estimation method with two correlation operations
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DOI：10.1016/j.aeue.2024.155217.png)
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摘要
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This paper proposes a narrowband near -field (NF) source localization algorithm based on two correlation operations. By utilizing the correlation of incident signal in the time and spatial domains, the algorithm achieves direction -of -arrival (DOA) with high -precision and low -complexity and range estimation under the virtual single snapshot. To do so, in the processing of NF source received signals, this paper first utilizes the symmetry of the cross -cross array and obtains a covariance matrix containing only azimuth and elevation information through two correlation operations. Since the covariance matrix has a standard two -level Toeplitz matrix form, the estimated parameters can be directly extracted from the noise -free covariance matrix without pairing using the two -level Vandermonde decomposition technique. Finally, the estimated value of the range is obtained using a one-dimensional (1-D) spectral peak search. Computer simulation results verify the superior performance of the proposed algorithm in terms of complexity and estimation accuracy.
Keyword:
Near-field
Cross array
Second-order statistics
Source localization
期刊
A
IF:
3.2
论文数:
5.8K
被引数:
8.3K
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