An Adaptive Feature Learning Model for Sequential Radar High Resolution Range Profile Recognition [PDF]
Sensors, 2017 This paper proposes a new feature learning method for the recognition of radar high resolution range profile (HRRP) sequences. HRRPs from a period of continuous changing aspect angles are jointly modeled and discriminated by a single model named the ...
Xuan Peng +3 more
doaj +2 more sources
Attention-Based Recurrent Temporal Restricted Boltzmann Machine for Radar High Resolution Range Profile Sequence Recognition [PDF]
Sensors, 2018 The High Resolution Range Profile (HRRP) recognition has attracted great concern in the field of Radar Automatic Target Recognition (RATR). However, traditional HRRP recognition methods failed to model high dimensional sequential data efficiently and ...
Yifan Zhang +4 more
doaj +2 more sources
A Neural Network with Convolutional Module and Residual Structure for Radar Target Recognition Based on High-Resolution Range Profile [PDF]
Sensors, 2020 In the conventional neural network, deep depth is required to achieve high accuracy of recognition. Additionally, the problem of saturation may be caused, wherein the recognition accuracy is down-regulated with the increase in the number of network ...
Zhequan Fu +4 more
doaj +2 more sources
Robust High Resolution Range Profile Recognition Method for Radar Targets in Noisy Environments
Leida xuebao, 2020 With the application of deep learning technology in the radar target recognition field, the automatic extraction of the target feature greatly improves the accuracy and robustness of the recognition, but its robustness in noisy environments needs to be ...
Weijie LI +3 more
doaj +1 more source
IET Radar, Sonar & Navigation, 2022 Convolution neural networks (CNNs) represent one of the workhorses of artificial intelligence applications. As a typical artificial intelligence application, a high‐resolution range profile (HRRP) target recognition method based on CNNs has aroused a lot
Qian Xiang +5 more
doaj +1 more source
Multi-perspective high range resolution profiles of landmines [PDF]
2015 IEEE Radar Conference, 2015 Landmine clearance is a severe and unresolved humanitarian issue. The development of low-cost, smaller, faster and lighter Ground Penetrating Radars (GPR), which can be mounted on unmanned platforms, will allow faster and safer 24/7 operations. This technology will make it possible to survey affected areas with more flexible trajectories and these will
Wright, Lauren +3 more
openaire +1 more source
Sensors, 2017 The frequency of terahertz radar ranges from 0.1 THz to 10 THz, which is higher than that of microwaves. Multi-modal signals, including high-resolution range profile (HRRP) and Doppler signatures, can be acquired by the terahertz radar system.
Zhi Zhou, Zongjie Cao, Yiming Pi
doaj +1 more source
Radar high resolution range profile target recognition based on time series forest [PDF]
Zhihui kongzhi yu fangzhenIn order to improve the recognition accuracy of radar targets and the recognition performance under incomplete angular domain data, a high resolution range profile (HRRP) recognition algorithm based on time series forest is proposed.
CHENG Weiyi, ZHANG Hongmin, HUANG Yan
doaj +1 more source
Review of Recent Trends in Sensing Methodologies and AI Techniques for Non-Cooperative Aerial Target Recognition [PDF]
International Journal of Mathematical, Engineering and Management SciencesThe proliferation of non-cooperative aerial targets, particularly low altitude-slow-speed small RCS drones, presents a complex challenge for airspace security.
Arvind Rawat +5 more
doaj +1 more source
Radar High-Resolution Range Profile Target Recognition by the Dual Parallel Sequence Network Model
International Journal of Antennas and Propagation, 2021 Using traditional neural network algorithms to adapt to high-resolution range profile (HRRP) target recognition is a complex problem in the current radar target recognition field. Under the premise of in-depth analysis of the long short-term memory (LSTM)
Jizhou Wu, Hongmin Zhang, Xuanhao Gao
doaj +1 more source