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Journal of Electrical and Computer EngineeringSmeared spectrum (SMSP) jamming is a deceptive jamming technique commonly used against linear frequency modulation (LFM) radar. This technique produces high-density false targets that resemble a comb shape after pulse compression processing, resulting in
Zhenming Wen, Guohong Wang, Hongbo Yu
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A Confounder-Free Fusion Network for Aerial Image Scene Feature Representation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 The increasing number and complex content of aerial images have made some recent methods based on deep learning not fit well with different aerial image processing tasks.
Wei Xiong, Zhenyu Xiong, Yaqi Cui
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Observer-Based Adaptive Control for Trajectory Tracking of AUVs with Input Saturation
Applied Sciences, 2023 In this paper, an observer-based adaptive control method is investigated for the horizontal trajectory tracking of autonomous underwater vehicles (AUV) with input saturation and system disturbances.
Qiang Li +4 more
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A Novel Distributed State Estimation Algorithm with Consensus Strategy
Sensors, 2019 Owing to its high-fault tolerance and scalability, the consensus-based paradigm has attracted immense popularity for distributed state estimation. If a target is neither observed by a certain node nor by its neighbors, this node is naive about the target.
Jun Liu +4 more
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Radar/ESM anti-bias track association algorithm based on track distance vector detection
The Journal of Engineering, 2019 To address radar/ESM track association problem in the presence of sensor biases and different targets reported by different sensors, an anti-bias track association algorithm based on track distance vectors detection is proposed according to the ...
Baozhu Li +4 more
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Distinction of Scrambled Linear Block Codes Based on Extraction of Correlation Features
Applied Sciences, 2022 Aiming to solve the problem of the distinction of scrambled linear block codes, a method for identifying the scrambling types of linear block codes by combining correlation features and convolution long short-term memory neural networks is proposed in ...
Jiyuan Tan, Limin Zhang, Zhaogen Zhong
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Information Fusion in Multimedia Information Retrieval
, 2008 In retrieval, indexing and classification of multimedia data an efficient information fusion of the different modalities is essential for the system's overall performance. Since information fusion, its influence factors and performance improvement boundaries have been lively discussed in the last years in different research communities, we will review ...
Kludas, Jana +2 more
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Leida xuebaoMost existing specific emitter identification technologies rely on supervised learning, making them unsuitable for scenarios with label loss due to factors such as the acquisition environment (e.g., weather conditions, terrain, obstacles, and ...
Kangsheng LIU +5 more
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A Discriminative Feature Learning Approach for Remote Sensing Image Retrieval
Remote Sensing, 2019 Effective feature representations play a decisive role in content-based remote sensing image retrieval (CBRSIR). Recently, learning-based features have been widely used in CBRSIR and they show powerful ability of feature representations.
Wei Xiong +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 Maritime activities are essential aspects of human society. Accurate classification of ships is vital for maritime surveillance and meaningful to numerous civil and military applications.
Xiaohan Zhang +4 more
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