Results 31 to 40 of about 31,347 (302)

Sea Clutter Spectral Parameters Prediction and Influence Factor Analysis Based on Deep Learning

Leida xuebao, 2023
Using Deep Neural Network (DNN) modeling technology, a prediction model of Doppler spectral parameters of sea clutter based on multiple measurement conditions is established based on measured data of sea clutter from shore-based radar under different ...
Yushi ZHANG, Xiaoyu LI, Jinpeng ZHANG, Xiaoyun XIA   +3 more
doaj   +1 more source

Overview and Prospects of Radar Sea Clutter Measurement Experiments

Leida xuebao, 2019
In complex marine environments, sea clutter greatly affects the detection performance of maritime targets. Because the influencing factors of sea clutter are numerous and the mechanism is complex, there are great difficulties in feature description and ...
DING Hao, LIU Ningbo, DONG Yunlong, CHEN Xiaolong, GUAN Jian   +4 more
doaj   +1 more source

Chaotic modelling of sea clutter

Electronics Letters, 1992
In the letter we present calculations based on experimental radar data which confirm the chaotic nature of sea clutter. In particular, the results of the calculations show that the first Lyapunov exponent of sea clutter is indeed positive and around 0.015. Such a result is an inherent characteristic of a chaotic process.
He Nan, Haykin S.
openaire   +1 more source

Sea Clutter Suppression Method Based on Ocean Dynamics Using the WRF Model

Journal of Marine Science and Engineering
Sea clutter introduces a significant amount of non-target reflections in the echo signals received by radar, complicating target detection and identification.
Guigeng Li, Zhaoqiang Wei, Yujie Chen, Xiaoxia Meng, Hao Zhang   +4 more
doaj   +1 more source

Prediction of Sea Surface Reflectivity under Different Sea Conditions Based on the Clustering of Marine Environmental Parameters

Remote Sensing, 2023
The high-precision prediction of sea clutter reflectivity is helpful in improving the performance of marine radar and sea surface remote sensing capabilities.
Yalan Li, Liwen Ma, Yushi Zhang, Tao Wu, Jinpeng Zhang, Haiying Li   +5 more
doaj   +1 more source

Correlation Analysis of Simultaneously Collected Bistatic and Monostatic Sea Clutter [PDF]

, 2017
In this work we analyse the correlation properties of simultaneous bistatic and monostatic polarimetric sea clutter data, collected by the NetRAD multistatic radar system.
Fioranelli, Francesco, Griffiths, Hugh, Inggs, Michael, Miceli, William, Palamà, Riccardo, Ritchie, Matthew, Sandenbergh, Stephan   +6 more
core   +2 more sources

Sea Clutter Suppression Method Based on Correlation Features

Journal of Marine Science and Engineering
Radar target detection in a sea clutter environment is of significant importance in both civilian and military applications, with the detection of small maneuvering targets being particularly challenging.
Zhen Li, Huafeng He, Liyuan Wang, Tao Zhou, Yizhe Sun, Yaomin He   +5 more
doaj   +1 more source

Sea Clutter Suppression Based on Chaotic Prediction Model by Combining the Generator and Long Short-Term Memory Networks

Remote Sensing
Sea clutter usually greatly affects the target detection and identification performance of marine surveillance radars. In order to reduce the impact of sea clutter, a novel sea clutter suppression method based on chaos prediction is proposed in this ...
Jindong Yu, Baojing Pan, Ze Yu, Hongling Zhu, Hanfu Li, Chao Li, Hezhi Sun   +6 more
doaj   +1 more source

Bayesian statistical analysis of ground-clutter for the relative calibration of dual polarization weather radars [PDF]

, 2016
A new data processing methodology, based on the statistical analysis of ground-clutter echoes and aimed at investigating the stability of the weather radar relative calibration, is presented.
Falconi, MARTA TECLA, Marzano, FRANK SILVIO, Montopoli, Mario   +2 more
core   +1 more source

Bio‐Inspired Multimodal Hardware Front‐End Enabled by 2D Floating‐Gate Memory for UAV Perception

Advanced Functional Materials, EarlyView.
A MoS2/h‐BN /graphene floating‐gate memory underpins a bio‐inspired multimodal front end that integrates visual, inertial, and airflow cues. A 4 × 4 FG memory array encodes temporal intensity differences, while IMU‐ and airflow‐driven threshold modulation suppresses self‐motion artifacts, enabling fast, low‐power, robust autonomous UAV tracking and ...
Lianghao Guo, Yue Cheng, Cong Li, Xiaoyu Guo, Jiankai Yin, Dadong Fan, Zhenyu Xu, Chenyu Tang, Arokia Nathan, Shuo Gao, Li Tao, Luigi G. Occhipinti   +11 more
wiley   +1 more source