Mainlobe interference suppression based on eigen-projection processing and covariance matrix reconstruction

Xiaopeng Yang; Zongao Zhang; Tao Zeng; Teng Long; Tapan K. Sarkar

doi:10.1109/LAWP.2014.2339224

Mainlobe interference suppression based on eigen-projection processing and covariance matrix reconstruction

Xiaopeng Yang, Zongao Zhang, Tao Zeng, Teng Long, Tapan K. Sarkar

School of Information and Electronics

Research output: Contribution to journal › Article › peer-review

94 Citations (Scopus)

Abstract

A mainlobe interference suppression method is proposed based on eigen-projection processing and covariance matrix reconstruction. In the proposed method, the eigen-projection matrix is calculated based on the eigenvector of mainlobe interference to suppress the mainlobe interference in received echo data. The interference covariance matrix is reconstructed after the eigenvalue of mainlobe interference is replaced by the average value of noise eigenvalues to eliminate the effect of mainlobe interference to adaptive weight vector. Finally, the output of adaptive beamforming is calculated by processed echo data and adaptive weight vector obtained based on reconstructed covariance matrix. Simulation results show that the proposed method can suppress the mainlobe interference effectively and achieve excellent performance.

Original language	English
Article number	6860313
Pages (from-to)	1369-1372
Number of pages	4
Journal	IEEE Antennas and Wireless Propagation Letters
Volume	13
DOIs	https://doi.org/10.1109/LAWP.2014.2339224
Publication status	Published - 2014

Keywords

Adaptive beamforming
covariance matrix reconstruction
eigen-projection processing
mainlobe interference

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10.1109/LAWP.2014.2339224

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title = "Mainlobe interference suppression based on eigen-projection processing and covariance matrix reconstruction",

abstract = "A mainlobe interference suppression method is proposed based on eigen-projection processing and covariance matrix reconstruction. In the proposed method, the eigen-projection matrix is calculated based on the eigenvector of mainlobe interference to suppress the mainlobe interference in received echo data. The interference covariance matrix is reconstructed after the eigenvalue of mainlobe interference is replaced by the average value of noise eigenvalues to eliminate the effect of mainlobe interference to adaptive weight vector. Finally, the output of adaptive beamforming is calculated by processed echo data and adaptive weight vector obtained based on reconstructed covariance matrix. Simulation results show that the proposed method can suppress the mainlobe interference effectively and achieve excellent performance.",

keywords = "Adaptive beamforming, covariance matrix reconstruction, eigen-projection processing, mainlobe interference",

author = "Xiaopeng Yang and Zongao Zhang and Tao Zeng and Teng Long and Sarkar, {Tapan K.}",

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doi = "10.1109/LAWP.2014.2339224",

language = "English",

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pages = "1369--1372",

journal = "IEEE Antennas and Wireless Propagation Letters",

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T1 - Mainlobe interference suppression based on eigen-projection processing and covariance matrix reconstruction

AU - Yang, Xiaopeng

AU - Zhang, Zongao

AU - Zeng, Tao

AU - Long, Teng

AU - Sarkar, Tapan K.

PY - 2014

Y1 - 2014

N2 - A mainlobe interference suppression method is proposed based on eigen-projection processing and covariance matrix reconstruction. In the proposed method, the eigen-projection matrix is calculated based on the eigenvector of mainlobe interference to suppress the mainlobe interference in received echo data. The interference covariance matrix is reconstructed after the eigenvalue of mainlobe interference is replaced by the average value of noise eigenvalues to eliminate the effect of mainlobe interference to adaptive weight vector. Finally, the output of adaptive beamforming is calculated by processed echo data and adaptive weight vector obtained based on reconstructed covariance matrix. Simulation results show that the proposed method can suppress the mainlobe interference effectively and achieve excellent performance.

AB - A mainlobe interference suppression method is proposed based on eigen-projection processing and covariance matrix reconstruction. In the proposed method, the eigen-projection matrix is calculated based on the eigenvector of mainlobe interference to suppress the mainlobe interference in received echo data. The interference covariance matrix is reconstructed after the eigenvalue of mainlobe interference is replaced by the average value of noise eigenvalues to eliminate the effect of mainlobe interference to adaptive weight vector. Finally, the output of adaptive beamforming is calculated by processed echo data and adaptive weight vector obtained based on reconstructed covariance matrix. Simulation results show that the proposed method can suppress the mainlobe interference effectively and achieve excellent performance.

KW - Adaptive beamforming

KW - covariance matrix reconstruction

KW - eigen-projection processing

KW - mainlobe interference

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DO - 10.1109/LAWP.2014.2339224

M3 - Article

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SN - 1536-1225

VL - 13

SP - 1369

EP - 1372

JO - IEEE Antennas and Wireless Propagation Letters

JF - IEEE Antennas and Wireless Propagation Letters

M1 - 6860313

ER -

Mainlobe interference suppression based on eigen-projection processing and covariance matrix reconstruction

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Keywords

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