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URGLQ: An Efficient Covariance Matrix Reconstruction Method for Robust Adaptive Beamforming [PDF]

open access: yesIEEE Transactions on Aerospace and Electronic Systems, 2023
The computational complexity of the conventional adaptive beamformer is relatively large, and the performance degrades significantly due to the model mismatch errors and the unwanted signals in received data. In this paper, an efficient unwanted signal removal and Gauss-Legendre quadrature (URGLQ)-based covariance matrix reconstruction method is ...
Zhenxin Cao, Le Zheng, Zongxin Wang
exaly   +6 more sources

Augmented Covariance Matrix Reconstruction for DOA Estimation Using Difference Coarray

IEEE Transactions on Signal Processing, 2021
As is well known, nonuniform linear arrays have significant advantages in array aperture and degrees of freedom over uniform linear arrays. Using their difference coarrays, subspace-based approaches can be utilized to perform underdetermined and high-resolution direction-of-arrival (DOA) estimation.
Zhi Zheng, Hing Cheung So, Wen-Qin Wang
exaly   +3 more sources

A Toeplitz Covariance Matrix Reconstruction Approach for Direction-of-Arrival Estimation

IEEE Transactions on Vehicular Technology, 2017
It is known that there exist two kinds of methods for direction-of-arrival (DOA) estimation in the literature: the subspace-based method and the sparsity-based method. However, pervious works reveal that the former method cannot address the case in which the number of signals is larger than that of sensors, whereas the latter one always suffers from ...
Jun Yan, Wei-Ping Zhu, Xiaohuan Wu
exaly   +2 more sources

Covariance Matrix Reconstruction of Nonclassical Light Generated On-Chip

Conference on Lasers and Electro-Optics, 2022
We reconstruct covariance matrices of two-mode states generated in an above-threshold on-chip optical parametric oscillator. Up to 2.3 dB squeezing is directly observed and all quadratures are measured, as a function of pump intensity.
Roger A. Kögler   +7 more
openaire   +1 more source

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