Mainlobe Interference Suppression via Eigen-Projection Processing and Covariance Matrix Reconstruction in Array Antenna

Authors

  • Bin Yang College of Information and Communication Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, China
  • Wenxing Li College of Information and Communication Engineering, Harbin Engineering University, Harbin, Heilongjiang 150001, China
  • Si Li School of Electronics and Information, Jiangsu University of Science and Technology, Zhenjiang, Jiangsu 212003, China

DOI:

https://doi.org/10.13052/2021.ACES.J.361111

Keywords:

array antenna, eigen-projection, mainlobe interference, reconstruction

Abstract

When the received data contains the desired signal, the performance of most mainlobe interference suppression methods is seriously degraded. To solve this problem, a novel mainlobe interference suppression method based on eigen-projection processing and covariance matrix reconstruction for array antenna is proposed in this paper. The method constructs the sidelobe interference plus noise covariance matrix (SINCM) and remove the mainlobe data of the covariance matrix. Then, it uses eigen-projection technology to remove the mainlobe interference in the received data and correct the SINCM to make the proposed method has better ability to suppress the mainlobe interference and sidelobe interference when the received data contains the desired signal. Simulation results demonstrate the superior performance of the proposed beamformer relative to other existing methods.

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References

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Published

2021-12-30

How to Cite

[1]
B. . Yang, W. . Li, and S. . Li, “Mainlobe Interference Suppression via Eigen-Projection Processing and Covariance Matrix Reconstruction in Array Antenna”, ACES Journal, vol. 36, no. 11, pp. 1468–1473, Dec. 2021.

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Articles