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- W4319586221 abstract "Frequency agile radar (FAR) can improve the coherent integration performance due to the spectrum sharing potential in electromagnetic countermeasure environments. However, the coherent integration performance of FAR would severely degrade in dense main lobe jamming environment. In order to solve this problem, an adaptive dense repeated jamming suppression method based on multiple measurement sparse recovery is proposed for frequency agile radar. In the proposed method, the target steering vector in the sparse recovery dictionary can be estimated by the multiple measurement vectors orthogonal matching pursuit (MMV-OMP) from the pulses without jamming cover, and then based on the maximum signal to interference-plus-noise ratio (MSINR) principle, the adaptive weight vector is obtained to suppress the jamming in the pulses of each coherent processing interval (CPI). Because of the MMV-OMP, the target steering vector can be estimated with less iterations, and the jamming in different pulses can be effectively suppressed by the adaptive weight vector, thus the output SNR can be improved. The effectiveness of the proposed method is verified by the simulated FAR data." @default.
- W4319586221 created "2023-02-09" @default.
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- W4319586221 date "2021-12-15" @default.
- W4319586221 modified "2023-09-26" @default.
- W4319586221 title "Adaptive Dense main lobe Jamming Suppression Method Based on Multiple Measurement Sparse Recovery for Frequency Agile Radar" @default.
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- W4319586221 doi "https://doi.org/10.1109/radar53847.2021.10028298" @default.
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