Results 11 to 20 of about 65,382 (157)

Weak Target Detection within the Nonhomogeneous Ionospheric Clutter Background of HFSWR Based on STAP [PDF]

open access: yesInternational Journal of Antennas and Propagation, 2013
High Frequency Surface Wave Radar (HFSWR) can perform the functions of ocean environment monitoring, target detection, and target tracking over the horizon. However, its system's performance is always limited by the severe ionospheric clutter environment,
Xin Zhang, Qiang Yang, Weibo Deng
doaj   +2 more sources

Ionospheric Clutter Suppression with an Auxiliary Crossed-Loop Antenna in a High-Frequency Radar for Sea Surface Remote Sensing

open access: yesJournal of Marine Science and Engineering, 2021
Ionospheric clutter is one of the main problems for high-frequency surface wave radars (HFSWRs), as it severely interferes with sea surface state monitoring and target detection.
Shuqin He   +3 more
doaj   +2 more sources

Space-Time Adaptive Processing Clutter Suppression Algorithm Based on Spatiotemporal Stationarity of Ionospheric Clutter in HFSWR

open access: yesInternational Journal of Antennas and Propagation
In high-frequency surface wave radar (HFSWR) systems, ionospheric clutter is a common phenomenon that often causes targets to be submerged. Space-time adaptive processing (STAP) is a classical adaptive filtering algorithm.
Ruilong Ren   +3 more
doaj   +2 more sources

Ionospheric Clutter Model for HF Sky-Wave Path Propagation with an FMCW Source

open access: yesInternational Journal of Antennas and Propagation, 2019
A theoretical model of the sky-wave path propagation with frequency modulated continuous wave (FMCW) source for high frequency (HF) radar is proposed in this paper.
Xuguang Yang   +3 more
doaj   +2 more sources

Highly Non-Uniform Stripe Ionospheric Clutter Suppression Algorithm for HFSWR

open access: yesJournal of Marine Science and Engineering
High-frequency surface wave radar (HFSWR) often suffers from highly non-uniform, striped ionospheric clutter, which significantly degrades sea-surface target detection performance.
Ruilong Ren   +3 more
doaj   +2 more sources

Signal Processing Methods to Improve Ocean Surface Wave Estimation from a High Frequency Surface Wave Radar [PDF]

open access: yes, 2011
High frequency surface wave radars are operated as a remote sensor to measure ocean surface parameters to ranges exceeding 200-300 km from the coastline.
Wang, Wei
core   +6 more sources

Ionospheric clutter mitigation using one-dimensional or two-dimensional wavelet processing

open access: yesIET Radar, Sonar & Navigation, 2009
Ionospheric clutter mitigation is an important issue for high-frequency surface wave radar (HFSWR) signal processing. Clutter results from a sky wave propagation mode, which is backscattered by ionospheric ionisation irregularities. The random behaviour and the high strength of clutter signals can strongly limit the HFSWR detection capabilities.
Jangal, Florent   +2 more
openaire   +2 more sources

Spread sea clutter suppression via prior knowledge‐based space time adaptive processing in high frequency hybrid sky‐surface wave radar

open access: yesIET Radar, Sonar & Navigation, 2023
In high frequency (HF) hybrid sky‐surface wave radar, the first‐order sea clutter broadening is severe under the action of ionospheric phase disturbance and bistatic angles.
Ya‐Jun Li   +5 more
doaj   +1 more source

Experimental Observation and Analysis of Ionosphere Echoes in the Mid-Latitude Region of China Using High-Frequency Surface Wave Radar and Ionosonde

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Ionospheric clutter is a major factor affecting the performance of high-frequency surface wave radar (HFSWR). Previous studies have been mainly focused on the development of ionospheric clutter suppression methods involving delicate signal processing ...
Xuguang Yang   +3 more
doaj   +1 more source

the plot, the clutter, the sampling and its lens: occlusion measures for automatic clutter reduction [PDF]

open access: yes, 2006
Previous work has demonstrated the use of random sampling in visualising large data sets and the practicality of a sampling lens in enabling focus+context viewing.
Dix, Alan, Ellis, G.
core   +4 more sources

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