Mainlobe Anti-Jamming via Eigen-Projection Processing and Covariance Matrix Reconstruction

Zhangkai LUO; Huali WANG; Wanghan LV; Hui TIAN

doi:10.1587/transfun.E100.A.1055

Mainlobe Anti-Jamming via Eigen-Projection Processing and Covariance Matrix Reconstruction

Zhangkai LUO, Huali WANG, Wanghan LV, Hui TIAN

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In this letter, a novel mainlobe anti-jamming method via eigen-projection processing and covariance matrix reconstruction is proposed. The present work mainly focuses on two aspects: the first aspect is to obtain the eigenvector of the mainlobe interference accurately in order to form the eigen-projection matrix to suppress the mainlobe interference. The second aspect is to reconstruct the covariance matrix which is uesd to calculate the adaptive weight vector for forming an ideal beam pattern. Additionally, the self-null effect caused by the signal of interest and the sidelobe interferences elimination are also considered in the proposed method. Theoretical analysis and simulation results demonstrate that the proposed method can suppress the mainlobe interference effectively and achieve a superior performance.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.4 pp.1055-1059

Publication Date: 2017/04/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E100.A.1055

Type of Manuscript: LETTER

Category: Digital Signal Processing

Authors

Zhangkai LUO
  PLA University of Science and Technology
Huali WANG
  PLA University of Science and Technology
Wanghan LV
  Nanjing University of Science and Technology
Hui TIAN
  PLA University of Science and Technology

Keyword

mainlobe interference suppression, covariance matrix reconstruction, adaptive beamforming

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Zhangkai LUO, Huali WANG, Wanghan LV, Hui TIAN, "Mainlobe Anti-Jamming via Eigen-Projection Processing and Covariance Matrix Reconstruction" in IEICE TRANSACTIONS on Fundamentals, vol. E100-A, no. 4, pp. 1055-1059, April 2017, doi: 10.1587/transfun.E100.A.1055.
Abstract: In this letter, a novel mainlobe anti-jamming method via eigen-projection processing and covariance matrix reconstruction is proposed. The present work mainly focuses on two aspects: the first aspect is to obtain the eigenvector of the mainlobe interference accurately in order to form the eigen-projection matrix to suppress the mainlobe interference. The second aspect is to reconstruct the covariance matrix which is uesd to calculate the adaptive weight vector for forming an ideal beam pattern. Additionally, the self-null effect caused by the signal of interest and the sidelobe interferences elimination are also considered in the proposed method. Theoretical analysis and simulation results demonstrate that the proposed method can suppress the mainlobe interference effectively and achieve a superior performance.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.1055/_p

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@ARTICLE{e100-a_4_1055,
author={Zhangkai LUO, Huali WANG, Wanghan LV, Hui TIAN, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Mainlobe Anti-Jamming via Eigen-Projection Processing and Covariance Matrix Reconstruction},
year={2017},
volume={E100-A},
number={4},
pages={1055-1059},
abstract={In this letter, a novel mainlobe anti-jamming method via eigen-projection processing and covariance matrix reconstruction is proposed. The present work mainly focuses on two aspects: the first aspect is to obtain the eigenvector of the mainlobe interference accurately in order to form the eigen-projection matrix to suppress the mainlobe interference. The second aspect is to reconstruct the covariance matrix which is uesd to calculate the adaptive weight vector for forming an ideal beam pattern. Additionally, the self-null effect caused by the signal of interest and the sidelobe interferences elimination are also considered in the proposed method. Theoretical analysis and simulation results demonstrate that the proposed method can suppress the mainlobe interference effectively and achieve a superior performance.},
keywords={},
doi={10.1587/transfun.E100.A.1055},
ISSN={1745-1337},
month={April},}

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TY - JOUR
TI - Mainlobe Anti-Jamming via Eigen-Projection Processing and Covariance Matrix Reconstruction
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1055
EP - 1059
AU - Zhangkai LUO
AU - Huali WANG
AU - Wanghan LV
AU - Hui TIAN
PY - 2017
DO - 10.1587/transfun.E100.A.1055
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 4
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - April 2017
AB - In this letter, a novel mainlobe anti-jamming method via eigen-projection processing and covariance matrix reconstruction is proposed. The present work mainly focuses on two aspects: the first aspect is to obtain the eigenvector of the mainlobe interference accurately in order to form the eigen-projection matrix to suppress the mainlobe interference. The second aspect is to reconstruct the covariance matrix which is uesd to calculate the adaptive weight vector for forming an ideal beam pattern. Additionally, the self-null effect caused by the signal of interest and the sidelobe interferences elimination are also considered in the proposed method. Theoretical analysis and simulation results demonstrate that the proposed method can suppress the mainlobe interference effectively and achieve a superior performance.
ER -