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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Editorial Office of Aero Weaponry
2025-04-01
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| 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. |
| format | Article |
| id | doaj-art-2abbc8c281a944cbb3c02ff1bba28879 |
| institution | Kabale University |
| issn | 1673-5048 |
| language | zho |
| publishDate | 2025-04-01 |
| publisher | Editorial Office of Aero Weaponry |
| record_format | Article |
| series | Hangkong bingqi |
| 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 |