Results 21 to 30 of about 17,089 (164)
Radioengineering. The echo signals from ships and sea clutter are coherently accumulated. Therefore, it is difficult to capture and distinguish the features within the signals.
X. Yang, G. Zhang, H. Song
semanticscholar +1 more source
WIREs Water, Volume 12, Issue 5, September/October 2025.Evolutionary tree of representative precipitation products and the methods behind them. ABSTRACT High‐resolution precipitation products (e.g., km‐scale and hourly) are essential for capturing extreme rainfall dynamics and improving hydrological models for flood forecasting and related applications.
Yuhang Zhang +7 more
wiley +1 more source
Velocity estimation and compensation approach for SFW radar visa IGSS
Electronics Letters, Volume 61, Issue 1, January/December 2025.This paper introduces a pioneering velocity estimation technique utilizing the fractional Fourier transform (FrFT) to address these limitations. Leveraging the characteristic of the Doppler signal from a moving target, which manifests as a chirp signal with a rate proportional to the target's velocity, the FrFT is utilized for precise velocity ...
Bo Peng, Caixia Qiao, Qile Chen
wiley +1 more source
IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.This paper proposes an improved radar HRRP target recognition method by leveraging a modified Short‐Time Fourier Transform (STFT) module and a Convolutional Neural Network (CNN). The method incorporates multi‐scale analysis and differential processing to enhance feature extraction, demonstrating superior robustness and accuracy across varying signal‐to‐
Xiaohui Wei, Zhulin Zong
wiley +1 more source
HRRPGraphNet: Make HRRPs to be graphs for efficient target recognition
Electronics Letters, Volume 60, Issue 22, November 2024.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
IET Radar, Sonar &Navigation, Volume 18, Issue 8, Page 1260-1273, August 2024.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
Adaptively Segmenting Angular Sectors for Radar HRRP Automatic Target Recognition
EURASIP Journal on Advances in Signal Processing, 2008 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zheng Bao, Li Yuan, Hongwei Liu, Bo Chen
openaire +3 more sources
Artificial Intelligence applications in Noise Radar Technology
IET 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
IET 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
Ship HRRP target recognition against decoy jamming based on CNN‐BiLSTM‐SE model
IET Radar, Sonar &Navigation, Volume 18, Issue 2, Page 361-378, February 2024.In this work, a novel radar target recognition model based on parallel neural networks for ship HRRP target recognition under decoys jamming is proposed. The parallel neural network employs CNN and bidirectional LSTM to extract overall envelope features and temporal features, which are then processed by the SE block to enhance critical information.
Lingang Wu +3 more
wiley +1 more source