Regularized Estimate of the Weight Vector of an Adaptive Interference Canceller

We consider an adaptive multi-channel interference canceller, which ensures the minimum value of the average output power of interference. It is proposed to form the weight vector of such a canceller as the power-vector expansion. It is shown that this approach allows one to obtain an exact analytic...

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Veröffentlicht in:Radiophysics and quantum electronics 2016-05, Vol.58 (12), p.970-979
Hauptverfasser: Ermolayev, V. T., Sorokin, I. S., Flaksman, A. G., Yastrebov, A. V.
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container_end_page 979
container_issue 12
container_start_page 970
container_title Radiophysics and quantum electronics
container_volume 58
creator Ermolayev, V. T.
Sorokin, I. S.
Flaksman, A. G.
Yastrebov, A. V.
description We consider an adaptive multi-channel interference canceller, which ensures the minimum value of the average output power of interference. It is proposed to form the weight vector of such a canceller as the power-vector expansion. It is shown that this approach allows one to obtain an exact analytical solution for the optimal weight vector by using the procedure of the power-vector orthogonalization. In the case of a limited number of the input-process samples, the solution becomes ill-defined and its regularization is required. An effective regularization method, which ensures a high degree of the interference suppression and does not involve the procedure of inversion of the correlation matrix of interference, is proposed, which significantly reduces the computational cost of the weight-vector estimation.
doi_str_mv 10.1007/s11141-016-9669-7
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1573-9120
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subjects Astronomy
Astrophysics and Astroparticles
Cancellers
Computational efficiency
Hadrons
Heavy Ions
Interference
Lasers
Mathematical analysis
Mathematical and Computational Physics
Mathematical models
Nuclear Physics
Observations and Techniques
Optical Devices
Optics
Optimization
Photonics
Physics
Physics and Astronomy
Quantum Optics
Regularization
Theoretical
Vectors (mathematics)
title Regularized Estimate of the Weight Vector of an Adaptive Interference Canceller
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