Results 51 to 60 of about 218 (135)
International Journal of Antennas and Propagation, Volume 2024, Issue 1, 2024.The extraction algorithm of target characteristics resonance set at the high‐frequency band plays a significant role in defense applications like early warning. The paper proposes a new method to extract the characteristic resonance set of radar targets in the resonance frequency region using an autoregressive moving average model optimized by root ...
Sang Zhou +3 more
wiley +1 more source
Chaotic Properties of Gravity Waves during Typhoons Observed by HFSWR
Remote Sensing, 2023 The gravity wave produced by typhoons has been an essential subject of study that concerns numerous researchers. The damage to human beings and infrastructure in coastal regions caused by typhoon disasters annually is very severe, and analyzing gravity wave variation is a reliable approach to research typhoons. High-frequency surface wave radar (HFSWR)
Xuekun Chen +3 more
openaire +2 more sources
Simultaneous Altitude and RCS Estimation with Propagation Attenuation in Bistatic HFSWR
International Journal of Antennas and Propagation, 2013 High frequency surface wave radar (HFSWR) is traditionally unable to detect target altitude information. To simultaneously estimate the target altitude and radar cross-sections (RCS) with bistatic HFSWR, a novel estimation model is proposed with the ...
Zhao Kongrui +3 more
doaj +1 more source
Remote SensingShipborne high-frequency surface wave radar (HFSWR) can extend the measurement area due to the flexible movement of the platform and provide a new way to monitor large-area marine environment parameters.
Xinbo Zhang +3 more
doaj +1 more source
Prediction method for ionospheric clutter suppression for HFSWR
Electronics Letters, 2019 The detection performance of high‐frequency surface wave radar (HFSWR) is significantly impacted by ionospheric clutter and sea clutter. In order to suppress the ionospheric clutter, a new method based on the largest Lyapunov exponent prediction algorithm is proposed in this Letter.
Lyu Zhe, Yu ChangJun, Liu AiJun
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Ship Formation Identification with Spatial Features and Deep Learning for HFSWR
Remote SensingShip detection has been an area of focus for high-frequency surface wave radar (HFSWR). The detection and identification of ship formation have proven significant in early warning, while studies on the formation identification are limited due to the ...
Jiaqi Wang +3 more
doaj +1 more source
Remote SensingInvestigating the dynamic evolution process of the ocean and ionosphere in sudden sea conditions poses a challenging problem. To address this objective, this study utilizes actual data from high-frequency surface wave radar (HFSWR) to analyze, validate ...
Rong Wang +4 more
doaj +1 more source
MIMO High Frequency Surface Wave Radar Using Sparse Frequency FMCW Signals
International Journal of Antennas and Propagation, 2017 The heavily congested radio frequency environment severely limits the signal bandwidth of the high frequency surface wave radar (HFSWR). Based on the concept of multiple-input multiple-output (MIMO) radar, we propose a MIMO sparse frequency HFSWR system ...
Mengguan Pan, Baixiao Chen
doaj +1 more source
Knowledge-Based Generalized Side-Lobe Canceller for Ionospheric Clutter Suppression in HFSWR
Remote Sensing, 2018 High frequency surface wave radar (HFSWR) has been successfully developed for early warning and remote sensing. However, the ionospheric clutter is a difficult challenge that can make HFSWR system inefficient.
Xin Zhang +4 more
doaj +1 more source
Study on the Elimination Method of Wind Field Influence in Retrieving a Sea Surface Current Field. [PDF]
Sensors (Basel), 2022 Yuan X, Wang J, Han B, Wang X.
europepmc +1 more source