Results 131 to 140 of about 372 (177)
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Radar HRRP Statistical Recognition: Parametric Model and Model Selection
IEEE Transactions on Signal Processing, 2008Statistical modeling for radar high-resolution range profile (HRRP) is a challenging task in radar HRRP statistical recognition. Theoretical analysis and experimental results show that elements in an HRRP sample are statistically correlated and non-Gaussian distributed.
Lan Du, Hongwei Liu
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Radar HRRP target recognition based on higher order spectra
IEEE Transactions on Signal Processing, 2005Radar high-resolution range profile (HRRP) is very sensitive to time-shift and target-aspect variation; therefore, HRRP-based radar automatic target recognition (RATR) requires efficient time-shift invariant features and robust feature templates. Although higher order spectra are a set of well-known time-shift invariant features, direct use of them ...
Lan Du, Hongwei Liu, Mengdao Xing
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Target-attentional CNN for Radar Automatic Target Recognition with HRRP
Signal Processing, 2022Lan Du
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Contrastive Learning for Radar HRRP Recognition With Missing Aspects
IEEE Geoscience and Remote Sensing Letters, 2023Wei Lin, Lexing Huang, Yue Huang
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Radar HRRP Open Set Recognition Based on Extreme Value Distribution
IEEE Transactions on Geoscience and Remote Sensing, 2023Ziheng Xia +2 more
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HRRP recognition in radar sensor network
Ad Hoc Networks, 2017Abstract In this paper, several high-resolution range profile (HRRP) recognition approaches in radar sensor network (RSN) are investigated. First, we study HRRP target recognition in a radar. A decision rule based on the minimum resistor-average (MRA) distance criterion is established for HRRP sequence recognition.
Chengchen Mao, Jing Liang 0002
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An infinite classification RBM model for radar HRRP recognition
2017 International Joint Conference on Neural Networks (IJCNN), 2017High resolution range profile (HRRP) recognition is a widely used technique in the radar automatic target recognition community. However, the recognition performance often suffers from aspect sensitivity and the unsuitable features designed in practical applications.
Xuan Peng, Xunzhang Gao, Xiang Li 0014
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Adaptive statistical model for radar HRRP recognition
IET Conference Publications, 2009Radar automatic target recognition (RATR) should have a robust recognition performance in different noisy conditions. Most of the algorithms in RATR are based on high signal-to-noise (SNR) condition, not consider the recognition performance in low SNR.
Q.Y. Hou, H.W. Liu, F. Chen, Z. Bao
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A spatiotemporal model for radar HRRP sequence recognition
2010 IEEE Radar Conference, 2010A temporal factor analysis (TFA) model which can describe both the spatial structure and temporal dependency of high range resolution profiles (HRRP) has been proposed for radar HRRP sequence recognition. Variational Bayes method and Bayesian classifier are adopted for model learning and classification task, respectively. The favorable results based on
Penghui Wang, Lan Du, Hongwei Liu
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Polarization Radar HRRP Recognition Based on Kernel Methods
2009Although the multi-polarized high resolution range profiles (HRRP) include more target information than single-polarized HRRP, the recognition becomes more difficult because of the huge data and the complex data distribution. Kernel methods based on the multi-polarized HRRPs are proposed in this paper.
Liya Li +3 more
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