2021
DOI: 10.1109/taes.2021.3076175
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Fast Sidelobe Suppression Based on Two-Dimensional Joint Iterative Adaptive Filtering

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Cited by 13 publications
(2 citation statements)
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“…Te studies in [25] combines the metasurface with amplitude and phase controllable unit cell, and realize the side-lobe levels suppression of a metasurface lens. Reference [26] proposes a 2D joint iterative adaptive fltering method by adopting the reiterative minimum mean square error (RMMSE) criterion to reduce the side lobe. Some papers consider both the sidelobe reduction and anti-interference performance of the array.…”
Section: Introductionmentioning
confidence: 99%
“…Te studies in [25] combines the metasurface with amplitude and phase controllable unit cell, and realize the side-lobe levels suppression of a metasurface lens. Reference [26] proposes a 2D joint iterative adaptive fltering method by adopting the reiterative minimum mean square error (RMMSE) criterion to reduce the side lobe. Some papers consider both the sidelobe reduction and anti-interference performance of the array.…”
Section: Introductionmentioning
confidence: 99%
“…L INEAR frequency modulation (LFM) signal is widely used in the modern radar system. Since target detection performance is often adversely affected by the uncertainty of the noise power [1], matched filters (MF) are typically leveraged to improve the signal-to-noise ratio (SNR) without increasing the radar's peak transmitted power [2]. However, high peak sidelobe level (PSL) of MF output tends to cause masking problems between strong and weak targets that come close.…”
Section: Introductionmentioning
confidence: 99%