Results 101 to 110 of about 463 (152)
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DOA Estimation for HFSWR Target Based on PSO-ELM
IEEE Geoscience and Remote Sensing Letters, 2022High-frequency surface wave radar (HFSWR) plays an important role in vessel target surveillance. However, HFSWR's inaccuracy of azimuth estimation caused by wide beams severely limits its detection ability. To solve this problem, a novel direction of arrival (DOA) estimation method based on extreme learning machine optimized by particle swarm ...
Ling Zhang, Chenlu Shi, Jiong Niu
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Improving the Azimuthal Resolution of HFSWR With Multiplicative Beamforming
The use of multiplicative beamforming is described to improve the azimuthal resolution of existing high-frequency surface-wave radar (HFSWR). An existing method by Davies and Ward is used to improve the resolution by a factor of more than two for HFSWR with 16 antennas.
Régis Guinvarc'h +3 more
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Performance analysis of target detection with compact HFSWR
2016 CIE International Conference on Radar (RADAR), 2016High frequency surface wave radar (HFSWR) can continuously detect and track vessel targets over the horizon in real time. Compact HFSWR with a small aperture has the advantage of occupying smaller radar site, lower power consumption, easy deployment and maintenance.
Yonggang Ji +2 more
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A Knowledge-Based Auxiliary Channel STAP for Target Detection in Shipborne HFSWR
The broadened first-order sea clutter in shipborne high frequency surface wave radar (HFSWR), which will mask the targets with low radial velocity, is a kind of classical space–time coupled clutter.
Liang Guo, Weibo Deng, Di Yao
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2015 16th International Radar Symposium (IRS), 2015
In this paper, we explore the possibility of track retrodiction to improve the track performance. To make use of the extra multi-frame data, we borrow the Rauch-Tung-Striebel (RTS) algorithm for the track retrodiction purpose. Using a converted extended Kalman filter (CMEKF) as the baseline, its retrodicted version, namely the retrodicted CMEKF, shows ...
Zhen Ding, Peter Moo
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In this paper, we explore the possibility of track retrodiction to improve the track performance. To make use of the extra multi-frame data, we borrow the Rauch-Tung-Striebel (RTS) algorithm for the track retrodiction purpose. Using a converted extended Kalman filter (CMEKF) as the baseline, its retrodicted version, namely the retrodicted CMEKF, shows ...
Zhen Ding, Peter Moo
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Ionospheric Interference Suppression in HFSWR
2006 1ST IEEE Conference on Industrial Electronics and Applications, 2006Over the past two decades, significant advances have been made in the use of high frequency surface wave radar (HFSWR) for remote sensing in an ocean environment. As one of the main outside interference, ionospheric interference may badly affect radar's performance.
Huang. Liang, Wen. Biyang, Yao Min
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Extraction of ionospheric clutter in HFSWR
2010 The 2nd International Conference on Industrial Mechatronics and Automation, 2010The two main applications of High frequency surface wave radar (HFSWR) are maritime surveillance of the Exclusive Economic Zone (EEZ) and the remote sensing of the sea. Ionospheric clutter strongly limits the detection capabilities of HFSWR. In order to analyze the effect of ionospheric clutter, a method based on image processing is proposed to extract
Shang Shang, Ning Zhang, Yang Li
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Suppression of Ionospheric Es Clutter in HFSWR
2006 CIE International Conference on Radar, 2006Ionospheric clutters from sporadic E-layer are often observed in 200 km-coverage HFSWR. One kind of the Es-layer clutters is found to have coherent time much longer than that of sea echoes. The feature is exploited in the proposal of a new algorithm to suppress this kind of clutter based on eigen value decomposition and subspace ...
Yin Wei +3 more
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Track Matching Based on ELM for HFSWR
2019 Chinese Automation Congress (CAC), 2019High frequency surface wave radar (HFSWR) plays an important role in marine surveillance and target tracking. However, in the complex environment of interference, the ship target signals will be submerged, which lead to track breakage and miscorrelation.
Ling Zhang +5 more
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