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 inInternational journal of electrical and computer engineering (Malacca, Malacca) Vol. 12; no. 2; p. 1732
Main Authors Singh, Satyanand, Singh, Sajai Vir, Yadav, Dinesh, Suman, Sanjay Kumar, Lakshminarayanan, Bhagyalakshmi, Singh, Ghanshyam
Format Journal Article
LanguageEnglish
Published Yogyakarta IAES Institute of Advanced Engineering and Science 01.04.2022
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ISSN2088-8708
2722-2578
2088-8708
DOI10.11591/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.
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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Snippet 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...
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StartPage 1732
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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