NDLI: Robust adaptive beamforming of coherent signals in the presence of the unknown mutual coupling

Content Provider	IET Digital Library
Author	Yang, Xue Xie, Julan Li, Huiyong He, Zishu
Abstract	A new method based on the matrices reconstruction is proposed to deal with coherent signals in the presence of the unknown mutual coupling. By using a novel expression of the spatial covariance matrix in the presence of mutual coupling, the interference-plus-noise covariance matrix and the desired signal covariance matrix can be reconstructed via estimating the autocorrelation matrix of the signal envelope with unknown mutual coupling in an iteration process. Based on the criterion of the maximum output signal-to-interference-plus-noise ratio, a subspace orthogonal to the interference subspace can be then found out by using these reconstructed matrices. Therefore, the desired signal and the noise can be let out by mapping this estimated subspace to the observed data. Finally, an optimal weight vector can be obtained by maximising the output power of the desired signal. The performance of the proposed method is quite close to the optimal beamforming. The simulations demonstrate the effectiveness of the proposed beamformer.
Starting Page	75
Ending Page	81
Page Count	7
ISSN	17518628
Volume Number	12
e-ISSN	17518636
Issue Number	Issue 1, Jan (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/12/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2017.0314
Journal	IET Communications
Publisher Date	2017-08-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Array Signal Processing Autocorrelation Matrix Coherent Signal Covariance Matrices Desired Signal Covariance Matrix Digital Signal Processing Interference SubSpace Interference-plus-noise Covariance Matrix Interpolation And Function Approximation Iteration Process Iterative Method Linear Algebra Maximum Output Signal-to-interference-plus-noise Ratio Numerical Analysis Optimal Beamforming Optimal Weight Vector Robust Adaptive Beamforming Signal Envelope Signal Processing And Detection Signal Processing Theory Spatial Covariance Matrix Unknown Mutual Coupling Vector
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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