Main Lobe Anti-Interference Algorithm Based on Robust Oblique Projection Preprocessing

In practical applications, the array received data often contains target signal components, using the covariance matrix of the sample including the partial target signal instead of the covariance matrix of the interference noise will cause significant errors, especially when the number of array rece...

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Main Author: Sui Zhenxing, Wang Zheng, Yuan Xiaolei
Format: Article
Language:zho
Published: Editorial Office of Aero Weaponry 2025-04-01
Series:Hangkong bingqi
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Online Access:https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2024-0149.pdf
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author Sui Zhenxing, Wang Zheng, Yuan Xiaolei
author_facet Sui Zhenxing, Wang Zheng, Yuan Xiaolei
author_sort Sui Zhenxing, Wang Zheng, Yuan Xiaolei
collection DOAJ
description In practical applications, the array received data often contains target signal components, using the covariance matrix of the sample including the partial target signal instead of the covariance matrix of the interference noise will cause significant errors, especially when the number of array received snapshots is low. At the same time, the target signal is often weak, and direct angle measurement will result in certain angle measurement errors, leading to errors in the target signal guided vector. These two non-ideal application scenarios will seriously deteriorate the algorithm’s anti-interference performance. This paper proposes an anti-mainlobe interference algorithm based on robust oblique projection preprocessing. Firstly, the interference noise covariance matrix is reconstructed based on the received data including the target signal, to minimize the impact of the target signal on the algorithm performance furthest. Secondly, based on the reconstructed interference noise covariance matrix and the high-precision estimated target steering vector, a robust oblique projection preprocessing matrix is jointly designed to effectively suppress the mainlobe interference. Finally, the data after oblique projection preprocessing is processed by robust adaptive beam nulling to suppress the sidelobe interference. Simulation results show that the proposed algorithm can effectively suppress the mainlobe interference and sidelobe interference while eliminating the mainlobe distortion, and has good robustness to the non-ideal scenarios of the received data, which includes the target signal and exists angle measurement errors.
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institution Kabale University
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publisher Editorial Office of Aero Weaponry
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spelling doaj-art-2abbc8c281a944cbb3c02ff1bba288792025-08-20T03:52:39ZzhoEditorial Office of Aero WeaponryHangkong bingqi1673-50482025-04-01322747910.12132/ISSN.1673-5048.2024.0149Main Lobe Anti-Interference Algorithm Based on Robust Oblique Projection PreprocessingSui Zhenxing, Wang Zheng, Yuan Xiaolei01. China Airborne Missile Academy, Luoyang 471009, China;2. National Key Laboratory of Air-based Information Perception and Fusion, Luoyang 471009, ChinaIn practical applications, the array received data often contains target signal components, using the covariance matrix of the sample including the partial target signal instead of the covariance matrix of the interference noise will cause significant errors, especially when the number of array received snapshots is low. At the same time, the target signal is often weak, and direct angle measurement will result in certain angle measurement errors, leading to errors in the target signal guided vector. These two non-ideal application scenarios will seriously deteriorate the algorithm’s anti-interference performance. This paper proposes an anti-mainlobe interference algorithm based on robust oblique projection preprocessing. Firstly, the interference noise covariance matrix is reconstructed based on the received data including the target signal, to minimize the impact of the target signal on the algorithm performance furthest. Secondly, based on the reconstructed interference noise covariance matrix and the high-precision estimated target steering vector, a robust oblique projection preprocessing matrix is jointly designed to effectively suppress the mainlobe interference. Finally, the data after oblique projection preprocessing is processed by robust adaptive beam nulling to suppress the sidelobe interference. Simulation results show that the proposed algorithm can effectively suppress the mainlobe interference and sidelobe interference while eliminating the mainlobe distortion, and has good robustness to the non-ideal scenarios of the received data, which includes the target signal and exists angle measurement errors.https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2024-0149.pdf|mainlobe interference|robust oblique projection|covariance matrix reconstruction|adaptive beamforming|target signal guided vector estimation
spellingShingle Sui Zhenxing, Wang Zheng, Yuan Xiaolei
Main Lobe Anti-Interference Algorithm Based on Robust Oblique Projection Preprocessing
Hangkong bingqi
|mainlobe interference|robust oblique projection|covariance matrix reconstruction|adaptive beamforming|target signal guided vector estimation
title Main Lobe Anti-Interference Algorithm Based on Robust Oblique Projection Preprocessing
title_full Main Lobe Anti-Interference Algorithm Based on Robust Oblique Projection Preprocessing
title_fullStr Main Lobe Anti-Interference Algorithm Based on Robust Oblique Projection Preprocessing
title_full_unstemmed Main Lobe Anti-Interference Algorithm Based on Robust Oblique Projection Preprocessing
title_short Main Lobe Anti-Interference Algorithm Based on Robust Oblique Projection Preprocessing
title_sort main lobe anti interference algorithm based on robust oblique projection preprocessing
topic |mainlobe interference|robust oblique projection|covariance matrix reconstruction|adaptive beamforming|target signal guided vector estimation
url https://www.aeroweaponry.avic.com/fileup/1673-5048/PDF/2024-0149.pdf
work_keys_str_mv AT suizhenxingwangzhengyuanxiaolei mainlobeantiinterferencealgorithmbasedonrobustobliqueprojectionpreprocessing