
Mitigation of target distortion in pulse‐agile sensors via Richardson–Lucy deconvolution
Author(s) -
Kirk B.H.,
Martone A.F.,
Sherbondy K.D.,
Narayanan R.M.
Publication year - 2019
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2019.2650
Subject(s) - deconvolution , distortion (music) , radar , computer science , context (archaeology) , agile software development , pulse repetition frequency , interference (communication) , electronic engineering , pulse doppler radar , computer vision , wiener deconvolution , point spread function , artificial intelligence , real time computing , blind deconvolution , engineering , radar imaging , algorithm , telecommunications , bandwidth (computing) , geography , amplifier , software engineering , channel (broadcasting) , archaeology
Pulse‐agile radar systems are becoming more prevalent as the demand for adaptive and cognitive systems increases. This focus is motivated by the need for interference avoidance and spectrum sharing. Pulse agility within a coherent processing interval (CPI) or intra‐CPI adaption has been shown to cause distortion, which will negatively impact the radar's performance. This problem can be framed in the context of image processing such that an ideal range–Doppler image is corrupted by some point spread function. Deconvolution is then applied to remove this distortion and improve radar performance while maintaining the ability to use computationally efficient fast Fourier transform‐based processing.