Results 61 to 70 of about 372 (177)

A novel HRRP target recognition method based on LSTM and HMM decision-making [PDF]

open access: yes, 2019
Feature learning is a key step of target recognition for high-resolution range profile (HRRP). In traditional methods, Hidden Markov Model (HMM) can learn the features of HRRP target aspect information.
Tu, Jun   +9 more
core   +1 more source

Radar high resolution range profile target recognition based on time series forest [PDF]

open access: yesZhihui kongzhi yu fangzhen
In 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

Multistation Cooperative Radar Target Recognition Based on an Angle-guided Transformer Fusion Network

open access: yesLeida xuebao, 2023
Multistation cooperative radar target recognition aims to enhance recognition performance by utilizing the complementarity between multistation information.
Shuai GUO   +6 more
doaj   +1 more source

Artificial Intelligence applications in Noise Radar Technology

open access: yesIET Radar, Sonar &Navigation, Volume 18, Issue 7, Page 986-1001, July 2024.
Abstract Radar systems are a topic of great interest, especially due to their extensive range of applications and ability to operate in all weather conditions. Modern radars have high requirements such as its resolution, accuracy and robustness, depending on the application.
Afonso L. Sénica   +2 more
wiley   +1 more source

Similarity‐oriented method for inverse synthetic aperture radar imaging with low signal‐to‐noise ratio

open access: yesIET Radar, Sonar &Navigation, Volume 18, Issue 7, Page 1068-1079, July 2024.
A novel similarity‐oriented (SO) method with a two‐domain denoising strategy is proposed. A PIE‐SO (PIxEl Similarity‐Oriented) denoising method designed for range‐Doppler (RD) domain and a modified RAP‐SO (RAnge Profile Similarity‐Oriented) denoising method designed for high‐resolution range profile (HRRP) matrix are included in the presented framework.
Xinbo Xu   +6 more
wiley   +1 more source

Radar Target Recognition Based on Feature Pyramid Fusion Lightweight CNN

open access: yesIEEE Access, 2019
In order to improve the accuracy and robustness of radar target recognition under low SNR conditions, a novel radar high range resolution profile (HRRP) target recognition method based on feature pyramid fusion lightweight CNN is proposed in this paper ...
Chen Guo   +4 more
doaj   +1 more source

Polarimetric HRRP recognition based on feature‐guided Transformer model

open access: yesElectronics Letters, 2021
Polarimetric high‐resolution range profile (HRRP) holds great potential for radar automatic target recognition (RATR) owing to its capability of providing both polarimetric and spatial scattering information.
Liang Zhang   +4 more
doaj   +1 more source

Radar high-resolution range profile recognition via multi-SV method

open access: yesThe Journal of Engineering, 2019
The radar high-resolution range profile (HRRP) is of great significance for target recognition in the ground compound environment. As two essential processes of HRRP target recognition, discrimination and classification performance improvement are ...
Long Li, Jie Jiang, Zheng Liu
doaj   +1 more source

HRRPGraphNet++: Dynamic Graph Neural Network with Meta-Learning for Few-Shot HRRP Radar Target Recognition

open access: yes
High-Resolution Range Profile (HRRP) radar recognition suffers from data scarcity challenges in real-world applications. We present HRRPGraphNet++, a framework combining dynamic graph neural networks with meta-learning for few-shot HRRP recognition.
Lingfeng Chen   +3 more
core   +1 more source

Robust High Resolution Range Profile Recognition Method for Radar Targets in Noisy Environments

open access: yesLeida 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

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