Results 91 to 100 of about 17,089 (164)

Radar HRRP statistical recognition based on hypersphere model

Signal Processing, 2008
The theoretical analysis and experimental results in this paper show that the independence assumption regarding elements in a radar high-resolution range profile (HRRP) sample, under which some statistical recognition methods were proposed, is not true.
Lan Du, Hongwei Liu
exaly   +2 more sources

Radar HRRP Statistical Recognition: Parametric Model and Model Selection

IEEE Transactions on Signal Processing, 2008
Statistical 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
exaly   +2 more sources

Radar HRRP target recognition based on higher order spectra

IEEE Transactions on Signal Processing, 2005
Radar 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 ...
Xing Mengdao, Lan Du, Hongwei Liu
exaly   +2 more sources

Target-attentional CNN for Radar Automatic Target Recognition with HRRP

Signal Processing, 2022
Lan Du
exaly   +2 more sources

Modified Generalized Discriminant Analysis For Radar HRRP Recognition

2007 International Conference on Microwave and Millimeter Wave Technology, 2007
Generalized discriminant analysis (GDA) is a nonlinear extension of the classical linear discriminant analysis (LDA) via kernel trick. As a feature extraction method, it has been proven successful in many applications such as radar high-range-resolution profiles (HRRP) recognition. However, GDA often suffers from the so-called small sample size problem
Hualin Liu, Wanlin Yang
semanticscholar   +2 more sources

Regularization-Based Region Learning for Radar HRRP Open Set Recognition

IEEE Transactions on Instrumentation and Measurement
In real-world scenarios, radar systems need to recognize both known and unknown classes, referred to as open set recognition (OSR). Prototype-like methods have shown significant potential in addressing this challenging task.
Wentao Li, Shuai Li, B. Tian, Pengjun Huang, Muhai Zheng, Shiyou Xu   +5 more
semanticscholar   +2 more sources

Radar HRRP Target Recognition Based on Hybrid Quantum Neural Networks

IEEE Transactions on Aerospace and Electronic Systems
This article proposes a hybrid quantum model called convolutional neural network-long short-term memory-quantum circuit (CNN-LSTM-QC) for binary classification tasks of high-resolution range profile (HRRP) targets.
X. Liu, D. Zhou, Q. Huang
semanticscholar   +2 more sources

Radar HRRP recognition based on discriminant deep autoencoders with small training data size

Electronics Letters, 2016
Pan Mian, J. Jie, Li Zhu, Cao Jing, Zhou Tao   +4 more
exaly   +2 more sources

Noise-Robust Modification Method for Gaussian-Based Models With Application to Radar HRRP Recognition

IEEE Geoscience and Remote Sensing Letters, 2013
Penghui Wang, Lan Du, Mian Pan
exaly   +2 more sources

Radar HRRP recognition of ship targets based on R-MLPs

Neural Networks, Information and Communication Engineering, 2022
To improve the capability of mining the deep features of the target in the recognition process of the high-resolution distance image (HRRP) of the ship targets, based on multiple perceptron (MLP), the R-MLPs model is proposed. The model is constructed by
Zhi Yue, Jianbin Lu, Lu Wan
semanticscholar   +1 more source