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Multi-to-two-LDA for HRRP radar target recognition

2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2019
High resolution range profile (HRRP) plays an important role in the field of radar automatic target recognition (RATR). In order to overcome the shortcoming of serious degradation in accuracy when processing a multi-target-recognition problem with LDA, this paper proposes a novel method named multi-to-two-LDA (MTTL), which can transform a problem of ...
Lu Yao, Lei Han, Jindong Guo, Tao Shang
openaire   +1 more source

A Contrastive Uncertainty Modeling for Radar HRRP Domain Generalization Target Recognition

IEEE Transactions on Aerospace and Electronic Systems
Radar high-resolution range profile (HRRP) is widely recognized in radar automatic target recognition systems. In practical scenarios, the radar data collection process can vary due to differences in polarization methods and operating frequency bands ...
Jieyuan Yang   +8 more
semanticscholar   +1 more source

A Compound Statistical Model Based Radar HRRP Target Recognition

2005
In radar HRRP based statistical target recognition, one of the most challenging tasks is how to accurately describe HRRP's statistical characteristics. Based on the scattering center model, range resolution cells are classified, in accordance with the number of predominant scatterers in each cell, into three statistical types.
Lan Du 0001   +3 more
openaire   +1 more source

Target-Aware Recurrent Attentional Network for Radar HRRP Target Recognition

Signal Processing, 2019
Abstract In this paper, we develop a Target-Aware Recurrent Attentional Network (TARAN) for Radar Automatic Target Recognition (RATR) based on High-Resolution Range Profile (HRRP) to make use of the temporal dependence and find the informative areas in HRRP, since it reflects the distribution of scatterers in target along the range dimension ...
Bin Xu   +4 more
openaire   +1 more source

Radar automatic target recognition based on feature extraction for complex HRRP

Science in China Series F: Information Sciences, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lan Du 0001   +3 more
openaire   +2 more sources

Spatial Distribution Learning With Multivariate Extreme Value Boundary for Radar HRRP Open set Recognition

IEEE Transactions on Aerospace and Electronic Systems
In real scenarios, radar systems must identify both known and unknown classes, referred to as open set recognition (OSR). However, most prototype-based OSR methods neglect the potential impact of the directional relationship between feature embeddings ...
Wentao Li   +5 more
semanticscholar   +1 more source

Long-Tailed Radar HRRP Target Recognition Based On Feature Space Sampling Supervised Contrastive Learning

2025 International Conference on Data Science and Edge Computing (ICDSEC)
With data-driven deep learning methods demonstrating extraordinary capabilities in multiple fields, applying this method to the field of radar automatic target recognition has become a hot topic in the radar community.
Haocheng Dong   +3 more
semanticscholar   +1 more source

Target Recognition of Radar HRRP Using the Envelope Reconstruction

2017
In target recognition based on high range resolution profile (HRRP), the major challenge is to extract invariant and robust features from the measured high dimension range profile samples. Focused on the reduction of dimensionality, a novel algorithm for extracting HRRP features is proposed in this paper, and the Legendre moments with orthogonal and ...
Pengfei Zhang   +3 more
openaire   +1 more source

Adaptive Ring-constrained Loss for Radar HRRP Open Set Target Recognition

International Conference on Signal Processing Systems
With growing demands for precise battlefield reconnaissance, radar automatic target recognition (RATR) systems must address open-set scenarios where unknown targets may appear.
Mengdie Wu   +3 more
semanticscholar   +1 more source

A two-distribution compounded statistical model for Radar HRRP target recognition

IEEE Transactions on Signal Processing, 2006
In the statistical target recognition based on radar high-resolution range profile (HRRP), two challenging tasks are how to deal with the target-aspect, time-shift, and amplitude-scale sensitivity of HRRP and how to accurately describe HRRPs statistical characteristics. In this paper, based on the scattering center model, range cells are classified, in
Lan Du 0001   +3 more
openaire   +1 more source

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