Optimization of False Target Jamming against UAV Detection
Drones, 2022 Unmanned aerial vehicles (UAVs) have been widely used for target detection in modern battlefields. From the viewpoint of the opponents, false target jamming is an effective approach to decrease the UAV detection ability or probability, but currently ...
Zheng-Lian Su +4 more
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Advancing Stepped-Waveform Radar Jamming Techniques for Robust False-Target Generation against LFM-CFAR Systems [PDF]
Sensors, 2023 This study investigates the utilization of a stepped wave frequency modulation jamming technique in radar systems. The objective is to enhance the effectiveness and robustness of false target jamming in the presence of linear frequency modulation (LFM ...
Yanqi Wang +4 more
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Shadow-Based False Target Identification for SAR Images
Remote Sensing, 2023 In radar electronic countermeasures, as the difference between jamming and targets continues to decrease, traditional methods that are implemented based on classical features are currently unable to meet the requirements of jamming detection.
Haoyu Zhang +5 more
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Target-small decoy search strategy for false discovery rate estimation [PDF]
BMC Bioinformatics, 2019 Background One of the most important steps in peptide identification is to estimate the false discovery rate (FDR). The most commonly used method for estimating FDR is the target-decoy search strategy (TDS).
Hyunwoo Kim, Sangjeong Lee, Heejin Park
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Dim Moving Multi-Target Enhancement with Strong Robustness for False Enhancement
Remote Sensing, 2023 In a space-based infrared system, the enhancement of targets plays a crucial role in improving target detection capabilities. However, the existing methods of target enhancement face challenges when dealing with multi-target scenarios and a low signal-to-
Yuke Zhang +3 more
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A Gaussian Mixture CPHD Filter for Multi-Target Tracking in Target-Dependent False Alarms
Remote SensingThe estimation of the target number and individual tracks are two major tasks in multi-target tracking. The main shortcoming of traditional tracking methods is the cumbersome data association between measurements and targets. The cardinalized probability
Qi Jiang +4 more
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TFCD-Net: Target and False Alarm Collaborative Detection Network for Infrared Imagery
Remote SensingInfrared small target detection (ISTD) plays a crucial role in both civilian and military applications. Detecting small targets against dense cluttered backgrounds remains a challenging task, requiring the collaboration of false alarm source elimination ...
Siying Cao +4 more
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GCI Fusion-Based Anti-Deception Jamming Algorithm for Distributed Radar [PDF]
Hangkong bingqi, 2022 Aiming at the anti-jamming problem of distributed radar against multiple false targets, an anti-jamming algorithm based on data level fusion is proposed. Firstly, the cardinalized probability hypothesis density (CPHD) filter based on random finite set is
Zhu Yongfeng, Da Kai, Yang Ye
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A Radar Detection Method of Plasma-Sheath-Covered Target Based on the Improved Keystone Algorithm
Remote Sensing, 2022 The aerodynamic thermal ionization affects the re-entry target, and the surface will form a ‘plasma sheath (PSh).’ The PSh with fluid characteristics will produce relative motion with the re-entry target.
Bowen Bai +3 more
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False Negativity of Targeted Axillary Dissection in Breast Cancer [PDF]
Breast Care, 2021 <b><i>Introduction:</i></b> Targeted axillary dissection (TAD) has been proposed as an alternative method for the staging of patients with node-positive breast cancer who undergo neoadjuvant chemotherapy. However, not much is known yet about the false-negative rate (FNR) of the method and the subsequent risk of underestimation ...
Kirkilesis, G. +2 more
openaire +3 more sources