Results 1 to 10 of about 235,258 (299)
Improved waveform design for radar target classification
Electronics Letters, 2017 The information‐theoretic waveform for target classification based on spectral variance has been studied, and its advantages have been shown. The waveform design algorithm has a low computational load and can be applied to real‐time applications. In looking for more sophisticated methods while keeping the advantages of an information‐based approach, a ...
Nathan A Goodman
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Analysis on Target Detection and Classification in LTE Based Passive Forward Scattering Radar
Sensors, 2016 The passive bistatic radar (PBR) system can utilize the illuminator of opportunity to enhance radar capability. By utilizing the forward scattering technique and procedure into the specific mode of PBR can provide an improvement in target detection and ...
Raja Syamsul Azmir Raja Abdullah +4 more
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Feature Extraction in Radar Target Classification
Radioengineering, 1999 This paper presents experimental results of extracting features in the Radar Target Classification process using the J frequency band pulse radar. The feature extraction is based on frequency analysis methods, the discrete-time Fourier Transform (DFT ...
Z. Kus, F. Nebus, J. Kurty
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Radar Target Classification Using Enhanced Doppler Spectrograms with ResNet34_CA in Ubiquitous Radar
Remote SensingUbiquitous Radar has become an essential tool for preventing bird strikes at airports, where accurate target classification is of paramount importance. The working mode of Ubiquitous Radar, which operates in track-then-identify (TTI) mode, provides both ...
Qiang Song +6 more
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Remote Sensing, 2022 Radar cross section (RCS) sequences, an easy-to-obtain target feature with small data volume, play a significant role in radar target classification. However, radar target classification based on RCS sequences has the shortcomings of limited information ...
Xuguang Xu, Cunqian Feng, Lixun Han
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IEEE Access, 2021 Accurate detection and tracking of birds and drones are of great significance in various low altitude airspace surveillance scenarios. Radar is currently the most proper long range surveillance technology for this problem but also challenged by various ...
Jia Liu, Qun Yu Xu, Wei Shi Chen
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Multi‐task tracking and classification with an adaptive radar
IET Radar, Sonar & Navigation, 2022 This study investigates the use of adaptive radar waveforms in performing a multi‐task operation involving the tracking and classification of a single target.
Peter John‐Baptiste +6 more
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RPREC: A Radar Plot Recognition Algorithm Based on Adaptive Evidence Classification
Applied Sciences, 2023 When radar receives target echoes to form plots, it is inevitably affected by clutter, which brings a lot of imprecise and uncertain information to target recognition.
Rui Yang, Yingbo Zhao, Yuan Shi
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Separability study of statistical features of RCS sequences extracted by sliding windows
Electronics Letters, 2023 Statistical features are commonly used in radar target recognition tasks using radar cross section as the data source. The traditional statistical feature extraction way may not make better use of the data information, making the target classification ...
Manqin Zhu, Shengbo Hu, Lv Ye
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Machine Learning with Applications, 2022 Target localization and classification from radar point clouds is a challenging task due to the inherently sparse nature of the data with highly non-uniform target distribution.
Anand Dubey +5 more
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