Discrete interferences optimum beamformer in correlated signal and interfering noise
This paper introduces a significant special situation where the noise is a collection of D-plane interference signals and the correlated noise of D+1 is less than the number of array components. An optimal beamforming processor based on the minimum variance distortionless response (MVDR) generates a...
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Published in | International journal of electrical and computer engineering (Malacca, Malacca) Vol. 12; no. 2; p. 1732 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Yogyakarta
IAES Institute of Advanced Engineering and Science
01.04.2022
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Subjects | |
Online Access | Get full text |
ISSN | 2088-8708 2722-2578 2088-8708 |
DOI | 10.11591/ijece.v12i2.pp1732-1743 |
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Abstract | This paper introduces a significant special situation where the noise is a collection of D-plane interference signals and the correlated noise of D+1 is less than the number of array components. An optimal beamforming processor based on the minimum variance distortionless response (MVDR) generates and combines appropriate statistics for the D+1 model. Instead of the original space of the N-dimensional problem, the interference signal subspace is reduced to D+1. Typical antenna arrays in many modern communication networks absorb waves generated from multiple point sources. An analytical formula was derived to improve the signal to interference and noise ratio (SINR) obtained from the steering errors of the two beamformers. The proposed MVDR processor-based beamforming does not enforce general constraints. Therefore, it can also be used in systems where the steering vector is compromised by gain. Simulation results show that the output of the proposed beamformer based on the MVDR processor is usually close to the ideal state within a wide range of signal-to-noise ratio and signal-to-interference ratio. The MVDR processor-based beamformer has been experimentally evaluated. The proposed processor-based MVDR system significantly improves performance for large interference white noise ratio (INR) in the sidelobe region and provide an appropriate beam pattern. |
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AbstractList | This paper introduces a significant special situation where the noise is a collection of D-plane interference signals and the correlated noise of D+1 is less than the number of array components. An optimal beamforming processor based on the minimum variance distortionless response (MVDR) generates and combines appropriate statistics for the D+1 model. Instead of the original space of the N-dimensional problem, the interference signal subspace is reduced to D+1. Typical antenna arrays in many modern communication networks absorb waves generated from multiple point sources. An analytical formula was derived to improve the signal to interference and noise ratio (SINR) obtained from the steering errors of the two beamformers. The proposed MVDR processor-based beamforming does not enforce general constraints. Therefore, it can also be used in systems where the steering vector is compromised by gain. Simulation results show that the output of the proposed beamformer based on the MVDR processor is usually close to the ideal state within a wide range of signal-to-noise ratio and signal-to-interference ratio. The MVDR processor-based beamformer has been experimentally evaluated. The proposed processor-based MVDR system significantly improves performance for large interference white noise ratio (INR) in the sidelobe region and provide an appropriate beam pattern. |
Author | Singh, Satyanand Lakshminarayanan, Bhagyalakshmi Yadav, Dinesh Suman, Sanjay Kumar Singh, Ghanshyam Singh, Sajai Vir |
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SubjectTerms | Antenna arrays Beamforming Communication networks Interference Microprocessors Noise Optimization Point sources Sidelobes Signal processing Signal to noise ratio Steering White noise |
Title | Discrete interferences optimum beamformer in correlated signal and interfering noise |
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