In this study, authors address high-range-resolution (HRR) profile reconstruction, when stepped-frequency waveforms are eventually used to maintain a narrow instantaneous bandwidth, resorting to the sparse learning via iterative minimisation (SLIM) paradigm, a regularised minimisation approach with an lqlq -norm constraint (for 0
HRR profile estimation using SLIM (High Range Resolution Profile Estimation using Sparse Learning via Iterative Minimization)
Pia Addabbo
;Antonio De Maio
;Silvia Liberata Ullo
2019-01-01
Abstract
In this study, authors address high-range-resolution (HRR) profile reconstruction, when stepped-frequency waveforms are eventually used to maintain a narrow instantaneous bandwidth, resorting to the sparse learning via iterative minimisation (SLIM) paradigm, a regularised minimisation approach with an lqlq -norm constraint (for 0File in questo prodotto:
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