Designing Sequences With Minimized Mean Sidelobe Level for Cognitive Radars
نویسندگان
چکیده
In this paper, a set of sequences is developed with minimized mean sidelobe level (MSL). The problem formulated for cognitive radars using the l 1 -norm, where target cognition determines which sidelobes should be suppressed. radar configuration requires fast waveform regeneration in each cycle. light, computational burden algorithms here revealed to situated on singular value decomposition (SVD) operation. randomization method adopted speed up proposed algorithms. obtained generation desired autocorrelation key its utilization radars. We also consider two practically important cases and accommodate approach them: unimodular finite-alphabet sequences. superiority confirmed both suppression through extensive numerical simulations.
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2021
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2021.3098301