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Keywords = main-lobe cover jamming

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22 pages, 6843 KiB  
Article
Monopulse Parameter Estimation for FDA-MIMO Radar under Mainlobe Deception Jamming
by Hao Chen, Rongfeng Li, Hui Chen, Qizhe Qu, Bilei Zhou, Binbin Li and Yongliang Wang
Remote Sens. 2023, 15(16), 3947; https://doi.org/10.3390/rs15163947 - 9 Aug 2023
Viewed by 1731
Abstract
Multiple input multiple output with frequency diversity array (FDA-MIMO) radar has unique advantages in mainlobe deception jamming suppression and target location. However, if the training sample contains the target signal, it will lead to poor jamming suppression performance and large target measurement error. [...] Read more.
Multiple input multiple output with frequency diversity array (FDA-MIMO) radar has unique advantages in mainlobe deception jamming suppression and target location. However, if the training sample contains the target signal, it will lead to poor jamming suppression performance and large target measurement error. To deal with the problem, a method of coarse target location in the time domain is proposed based on the cumulative sampling analysis. Taking full advantages of the strongest correlation characteristic between the expected steering vector and the true target, the feature vector and feature value corresponding to the true target are found after feature decomposition. The time domain location of the target is roughly estimated during the cumulative sampling analysis from near to far. Then, a pure jamming training sample can be obtained by avoiding the location. Noise subspace projection algorithm is used to measure the angle and range of the target while suppressing mainlobe jamming. The simulation results show that the proposed method can roughly estimate the target location in the time domain when the mainlobe deception jamming completely covers the target. Compared with conventional methods, the performance of jamming suppression and target localization error are closer to the performance of ideal sampling. Full article
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18 pages, 6981 KiB  
Article
Monopulse Radar Target Detection in the Case of Main-Lobe Cover Jamming
by Lei Wang, Qiliang Zhang and Pengfei Wan
Electronics 2022, 11(21), 3539; https://doi.org/10.3390/electronics11213539 - 30 Oct 2022
Cited by 2 | Viewed by 2455
Abstract
Radar is known as the “eye” of modern warfare and plays a pivotal role in warfare, but the detection performance of radar systems is seriously affected by main-lobe cover jamming. To solve this problem, a radar target detection method based on four-channel monopulse [...] Read more.
Radar is known as the “eye” of modern warfare and plays a pivotal role in warfare, but the detection performance of radar systems is seriously affected by main-lobe cover jamming. To solve this problem, a radar target detection method based on four-channel monopulse radar is proposed in this paper. This method designed a spatial filter for main-lobe jamming cancellation, which could cancel the main-lobe jamming while keeping the target signal power unchanged, ensuring that the Electronic counter-countermeasure Improvement Factors (EIF) of the filtered signal always reach the maximum value to improve the target detection performance of monopulse radar. The Monte Carlo simulation results showed that the algorithm in this paper outperformed the conventional Main-Lobe Cancellation (MLC) algorithm in terms of EIFs and detection performance. Full article
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