Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ru-Jia Hong"'
Publikováno v:
Applied Sciences, Vol 7, Iss 5, p 500 (2017)
In wideband radar systems, the performance of motion parameters estimation can significantly affect the performance of object detection and the quality of inverse synthetic aperture radar (ISAR) imaging. Although the traditional motion parameters est
Externí odkaz:
https://doaj.org/article/cec2e8bc69ef4c12a466be7a942a2b4c
Publikováno v:
Sensors, Vol 16, Iss 6, p 817 (2016)
Traditional monopulse angle estimations are mainly based on phase comparison and amplitude comparison methods, which are commonly adopted in narrowband radars. In modern radar systems, wideband radars are becoming more and more important, while the a
Externí odkaz:
https://doaj.org/article/4d5bea45312340d086874069fa99dc51
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 53:111-121
High linearity and low noise are important conditions for high-resolution imaging in wideband linear frequency modulation (LFM) radar systems, where stretch processing is commonly adopted. However, in practice, hardware may introduce amplitude and ph
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7296a26d25645e9e1f316eb12511a05d
https://doi.org/10.1109/taes.2017.2649278
https://doi.org/10.1109/taes.2017.2649278
Publikováno v:
Sensors; Volume 16; Issue 6; Pages: 817
Sensors, Vol 16, Iss 6, p 817 (2016)
Sensors (Basel, Switzerland)
Sensors, Vol 16, Iss 6, p 817 (2016)
Sensors (Basel, Switzerland)
Traditional monopulse angle estimations are mainly based on phase comparison and amplitude comparison methods, which are commonly adopted in narrowband radars. In modern radar systems, wideband radars are becoming more and more important, while the a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::33d7afafb48f367caeeafc67e91d19b3
Publikováno v:
ICASSP
Fast implementation of parameter estimation for polynomial phase signal (PPS) is considered in this paper. A method which combines the least squares unwrapping (LSU) estimator and the extended Kalman filter (EKF) is proposed. A small number of initia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::075196b8bc968c8c107f73d7ae4e6d29
https://doi.org/10.1109/icassp.2016.7472586
https://doi.org/10.1109/icassp.2016.7472586