A High Resolution Algorithm for Null Broadening Beamforming Based on Subspace Projection and Virtual Antenna Array

Authors

  • Wenxing Li College of Information and Communication Engineering Harbin Engineering University, Harbin, 86 150001, People’s Republic of China
  • Hang Yang College of Information and Communication Engineering Harbin Engineering University, Harbin, 86 150001, People’s Republic of China
  • Yunlong Mao College of Information and Communication Engineering Harbin Engineering University, Harbin, 86 150001, People’s Republic of China

Keywords:

Array resolution, diagonal loading, null broadening beamforming, remove redundancy, subspace projection, virtual antenna array

Abstract

In this paper, we proposed a high resolution algorithm for null broadening beamforming. The algorithm is based on the property of subspace orthogonal principle between signal and noise, and on virtual antenna array. By utilizing Capon spectrum estimator, we construct the correlation matrix to obtain projection transformation matrix, the width of null increases when original covariance matrix is processed by projection transformation matrix. In order to improve the depth of null and increase array resolution, virtual antenna technique is introduced. Also diagonal loading technique is used to form robust beam pattern. With the theoretical analysis and computer simulation, it’s demonstrated that the superiority of proposed algorithm corresponding other null broadening beamforming methods.

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References

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Published

2021-07-22

How to Cite

[1]
Wenxing Li, Hang Yang, and Yunlong Mao, “A High Resolution Algorithm for Null Broadening Beamforming Based on Subspace Projection and Virtual Antenna Array”, ACES Journal, vol. 33, no. 07, pp. 794–797, Jul. 2021.

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Section

General Submission