Proceedings Article10.1109/ICSPCC52875.2021.9564504
A low-complexity DOA estimation algorithm based on Nyström method for mixed signals
Teng Ma,Jiang Du,Liyang Qiao +2 more
- 17 Aug 2021
- pp 1-6
1
TL;DR: In this article, a fast decorrelation DOA estimation algorithm for mixed signals (coherent signals and uncorrelated signals coexist) is proposed, which does not need to directly calculate the covariance matrix of the array output.
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Abstract: In this paper, a fast decorrelation DOA (direction-of-arrival) estimation algorithm for mixed signals (coherent signals and uncorrelated signals coexist) is proposed. First, the approximate signal subspace of the array output is obtained by Nystrom method, which can reduce the computational complexity. Then, the eigenvectors of the signal subspace are used to reconstruct the matrix for direct decorrelation preprocessing. Finally, the unitary transformation is used to transform the reconstructed matrix into a real-valued matrix for faster DOA estimation. The proposed algorithm does not need to directly calculate the covariance matrix of the array output and does not need to perform decorrelation preprocessing on the covariance matrix, which reduces the computational complexity and can perform DOA estimation when coherent and uncorrelated signals exist simultaneously. The simulation results show that this algorithm can effectively estimate DOA while reducing the computational complexity.
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Citations
A Nyström-Based Low-Complexity Algorithm with Improved Effective Array Aperture for Coherent DOA Estimation in Monostatic MIMO Radar
Teng Ma,Jiang Du,Huaizong Shao +2 more
TL;DR: In this paper , an augmented data expansion matrix with improved effective aperture is obtained by exploiting the Vandermonde-like structure of the low-dimensional direction matrix and radar cross section matrix to enlarge the aperture of the array.
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TL;DR: In this article, a new technique is presented from another point of view, which reconstructs a special antenna array model based on the Toeplitz matrix whose rank is only related to the DoA of signals and cannot be affected by the coherency between them.
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An Enhanced Spatial Smoothing Technique With ESPRIT Algorithm for Direction of Arrival Estimation in Coherent Scenarios
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DoA Estimation and Capacity Analysis for 3-D Millimeter Wave Massive-MIMO/FD-MIMO OFDM Systems
TL;DR: A channel estimation method based on direction of arrival (DoA) estimation is presented for 3-D millimeter wave massive-MIMO orthogonal frequency division multiplexing (OFDM) systems and it is shown that the DoA-based channel estimation achieves a better performance than the traditional linear minimum mean squared error estimation.
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Real-Valued MUSIC for Efficient Direction Estimation With Arbitrary Array Geometries
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