Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Chaoxuan Shang"'
Publikováno v:
ETRI Journal, Vol 43, Iss 6, Pp 991-1003 (2021)
AbstractAutomatic modulation classification is essential in radar emitter identification. We propose a cascade classifier by combining a support vector machine (SVM) and convolutional neural network (CNN), considering that noise might be taken as rad
Externí odkaz:
https://doaj.org/article/ca9397887ec34b4d8ab90f331254a6e0
Publikováno v:
ETRI Journal, Vol 41, Iss 3, Pp 316-325 (2019)
Accurate suppressive jamming is a prominent problem faced by radar equipment. It is difficult to solve signal detection problems for extremely low signal to noise ratios using traditional signal processing methods. In this study, a joint sensing dict
Externí odkaz:
https://doaj.org/article/299fbbefb9b64bcab8580077a132982b
Publikováno v:
Symmetry, Vol 12, Iss 1, p 126 (2020)
In view of the characteristics of various types of information system integrated hardware and software systems, complex network topology, complex causes of fault alarm and uncertainty, this paper studies the communication fault maintenance decision-m
Externí odkaz:
https://doaj.org/article/c5adefff7713495482d7f0cb97f3e8f2
Publikováno v:
Applied Sciences, Vol 8, Iss 11, p 2160 (2018)
In practical bistatic inverse synthetic aperture radar (ISAR) imaging systems, the echo signals are modulated by non-ideal amplitude and phase characteristics of the transmitting and receiving channels, which seriously distorts image quality. However
Externí odkaz:
https://doaj.org/article/c87afac1a94f49c5a33ece797ebcc66d
Publikováno v:
IET Radar, Sonar & Navigation. 13:2202-2211
The performance of both autofocusing and imaging resolution degrades using the traditional autofocusing and range–Doppler algorithm for bistatic inverse synthetic aperture radar (Bi-ISAR) with sparse apertures. A Bi-ISAR sparse imaging algorithm ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e8befa2ed5469df2289c4d9fe95b410f
https://doi.org/10.1049/iet-rsn.2019.0296
https://doi.org/10.1049/iet-rsn.2019.0296
Publikováno v:
IET Radar, Sonar & Navigation. 13:1140-1148
The linear-geometry distortion and image defocus are induced by the time-varying bistatic angle in a bistatic inverse synthetic aperture radar (Bi-ISAR) system. Here, a distortion mitigation algorithm of a space target is proposed via exploiting the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5588bd7d152cbc9d3f95ecd6fa75b1a9
https://doi.org/10.1049/iet-rsn.2018.5605
https://doi.org/10.1049/iet-rsn.2018.5605
Publikováno v:
ETRI Journal, Vol 41, Iss 3, Pp 316-325 (2019)
Accurate suppressive jamming is a prominent problem faced by radar equipment. It is difficult to solve signal detection problems for extremely low signal to noise ratios using traditional signal processing methods. In this study, a joint sensing dict
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6cb0bac4c458e3935de6029e422cbf3c
https://doaj.org/article/299fbbefb9b64bcab8580077a132982b
https://doaj.org/article/299fbbefb9b64bcab8580077a132982b
Publikováno v:
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC).
In real battlefield, the prior information of radar target is not easy to obtain. The waveform based on the prior information of radar target can not meet the needs of detection and parameter estimation. This paper considers the optimal waveform desi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a8dbd01b8e711e34dbb8753fd133ea39
https://doi.org/10.1109/itnec48623.2020.9084764
https://doi.org/10.1109/itnec48623.2020.9084764
Publikováno v:
Electronics, Vol 8, Iss 8, p 874 (2019)
Electronics
Volume 8
Issue 8
Electronics
Volume 8
Issue 8
Due to the large size of space targets, migration through resolution cells (MTRC) are induced by a rotational motion in high-resolution bistatic inverse synthetic aperture radar (Bi-ISAR) systems. The inaccurate correction of MTRC degrades the qualit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a7229d580f114e0ca6db5c9280f11ed4
https://www.mdpi.com/2079-9292/8/8/874
https://www.mdpi.com/2079-9292/8/8/874
Publikováno v:
2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT).
Aiming at the problems of poor ISAR imaging quality and long computation time with sparse apertures, a high resolution imaging algorithm based on fast sparse Bayesian learning is proposed. Firstly, an imaging model with sparse apertures based on comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e03b1d2a25335f888716e6b4f9a19fe
https://doi.org/10.1109/iceict.2019.8846397
https://doi.org/10.1109/iceict.2019.8846397