Results 61 to 70 of about 360 (149)
A novel method for synthesizing the high resolution range profile (HRRP) with respect to the stepped frequency waveforms, which is based on dechirp processing, is proposed.
Yang, Wen-Jun +4 more
core +1 more source
HRRPGraphNet: Make HRRPs to be graphs for efficient target recognition
Conventional techniques for High‐Resolution Range Profiles (HRRP) target recognition frequently encounter difficulties due limited data under non‐cooperated circumstances. We propose a novel use of graph‐theory of HRRPs and convert traditional sequence‐based recognition into a sophisticated graph classification task to achieve efficient target ...
Lingfeng Chen +7 more
wiley +1 more source
Adaptive soft threshold transformer for radar high‐resolution range profile target recognition
Aiming to target areas localisation and background noise, a framework termed Adaptive Soft Threshold Transformer (ASTT) is proposed for radar HRRP target recognition, which comprises a PE layer, ASTT blocks, and DWPM layers. Experiments based on a simulated dataset and a measured dataset show that the proposed ASTT has excellent target recognition ...
Siyu Chen, Xiaohong Huang, Weibo Xu
wiley +1 more source
Artificial Intelligence applications in Noise Radar Technology
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
A Cognitive Stepped Frequency Strategy for HRRP Estimation
The problem of High Resolution Range Profile (HRRP) estimation is considered in this paper. In particular, stepped frequency waveforms are devised to enhance target Range Profile (RP) estimation accuracy. The basic idea relies on the dynamic optimization
Pallotta L. +4 more
core +1 more source
A novel recognition method is proposed to relieve the heavy requirement of training samples in the radar High Resolution Range Profile (HRRP) target recognition.
Xia Shuangzhi +2 more
core +1 more source
In radar high-resolution range profile (HRRP) recognition, the recognition accuracy will decline when the training samples in some classes (majority classes) greatly outnumbers other classes (minority classes).
Yiheng Song +3 more
doaj +1 more source
De-Noising of HRRP Using EMD for Improvement of Target Identification Performance
본 논문에서는 레이다 표적식별 성능을 향상시키기 위하여 고해상도 거리측면도(High Resolution Range Profile: HRRP) 에 포함된 잡음을 효과적으로 제거하는 방법을 제안한다. 제안된 기법은 HRRP에 포함된 잡음의 통계적인 특성과 EMD (Empirical Mode Decomposition) 알고리즘을 이용하여 HRRP에 포함된 잡음을 효과적으로 제거한다.
SEUNG, JAE LEE +3 more
core +1 more source
End-to-End Radar HRRP Target Recognition Based on Integrated Denoising and Recognition Network
For high-resolution range profile (HRRP) radar target recognition in a low signal-to-noise ratio (SNR) scenario, traditional methods frequently perform denoising and recognition separately.
Li Wang, Xueru Bai, Xiaodan Liu
core +1 more source
Radar HRRP Target Recognition Based on Dynamic Learning with Limited Training Data
For high-resolution range profile (HRRP)-based radar automatic target recognition (RATR), adequate training data are required to characterize a target signature effectively and get good recognition performance.
Lei Ran +3 more
core +1 more source

