NDLI: Robust adaptive beamforming for coprime array with steering vector estimation and covariance matrix reconstruction

Content Provider	IET Digital Library
Author	Meng, Zhen Zhou, Weidong
Abstract	Coprime array exhibits many advantages over the uniform linear array (ULA) with the same number of physical sensors in resolution performance and interference suppression capability. In this study, the authors take the advantages of coprime array to improve the robustness of adaptive beamformer. In the coprime virtual ULA (CV-ULA), they prove that a constructed Toeplitz matrix can be taken as the sample covariance matrix from the perspective of virtual signal characteristics. The CV-ULA Capon spectrum estimator is modified to obtain the directions and powers of all impinging signals. Since the real directions of all impinging signals are located at different angular sectors, they form independent signal subspace for each impinging signal. They also assign independent steering vector mismatches for different impinging signals to obtain their real steering vectors. The steering vector mismatch of each impinging signal is independently obtained by solving its own convex optimisation problem. They reconstruct the interference-plus-noise covariance matrix (INCM) with precise steering vectors and powers of interference signals. The proposed weight vector is computed by combining the desired signal steering vector and the reconstructed INCM. Extensive simulations show that the proposed algorithm provides robustness against many types of model mismatches.
Starting Page	2749
Ending Page	2758
Page Count	10
ISSN	17518628
Volume Number	14
e-ISSN	17518636
Issue Number	Issue 16, Oct (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/14/16
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2019.1314
Journal	IET Communications
Publisher Date	2020-07-15
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Beamformer Algebra Array Signal Processing Constructed Toeplitz Matrix Coprime Array Coprime Virtual ULA Covariance Matrices Covariance Matrix Reconstruction CV-ULA Capon Spectrum Estimator Desired Signal Steering Vector Different Impinging Signal Direction of Arrival Estimation Electromagnetic Compatibility Impinging Signal Independent Signal SubSpace Independent Steering Vector Mismatches Interference Interference Signal Interference Suppression Interference Suppression Capability Interference-plus-noise Covariance Matrix Optimisation Technique Precise Steering Vector Sample Covariance Matrix Signal Processing And Detection Signal Processing Theory Statistics Steering Vector Estimation Steering Vector Mismatch Toeplitz Matrix Uniform Linear Array Vector Virtual Signal Characteristic Weight Vector
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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