Radar HRRP Target Recognition via Semi-Supervised Multi-Task Deep Network
Feature representation based on the high resolution range profile (HRRP) is the key technology in radar automatic target recognition(RATR). In this paper, we design a deep-u-blind denoising network(DUBDNet) to extract features with high-noise-stability ...
Chenkai Zhao +4 more
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A Recognition Method of Aerospace Time-Sensitive Targets Based on Radar High Resolution Range Profile [PDF]
Aiming at the problem of aerosapce time-sensitive target recognition, a new sequential feature extraction method for radar high resolution range profile (HRRP) is proposed, and a multi classifier based on decision tree and support vector description ...
Qiu Xiangfeng, Huo Kai, Zhang Xinyu, Jiang Weidong
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Reconstructed Target Range Profile via Unitary ESPRIT Superresolution Algorithm
We propose an efficient technique for target classification using one-dimensional high resolution range profile (HRRP). The proposed technique utilizes the unitary estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm to
Rui Zhang +3 more
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An Adaptive Feature Learning Model for Sequential Radar High Resolution Range Profile Recognition
This paper proposes a new feature learning method for the recognition of radar high resolution range profile (HRRP) sequences. HRRPs from a period of continuous changing aspect angles are jointly modeled and discriminated by a single model named the ...
Xuan Peng +3 more
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A Novel Scheme for Detection and Estimation of Unresolved Targets With Stepped-Frequency Waveform
The “masking effect” of unresolved targets always results in missed detection and inaccurate parameter estimation. A feasible approach to separate the unresolved targets is improving the range resolution by increasing the signal bandwidth ...
Shengbin Luo Wang +4 more
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Polarimetric HRRP recognition based on feature‐guided Transformer model
Polarimetric high‐resolution range profile (HRRP) holds great potential for radar automatic target recognition (RATR) owing to its capability of providing both polarimetric and spatial scattering information.
Liang Zhang +4 more
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Radar Target Recognition Based on Semiparametric Density Estimation of SLC
In order to solve the problem of the decline of accuracy when using the nonparametric method—Stochastic Learning of the Cumulative (SLC) to estimate the density of High-Resolution Range Profile (HRRP) in radar target recognition under the condition that ...
Cui Shan-shan +2 more
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Recognizing the HRRP by Combining CNN and BiRNN With Attention Mechanism
In this paper, we integrate the advantages of convolutional neural network (CNN) and bidirectional recurrent neural network (BiRNN) with attention mechanism, and propose a CNN-BiRNN based method to recognize the individual high resolution range profile ...
Jinwei Wan +5 more
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Two-Stream Deep Fusion Network Based on VAE and CNN for Synthetic Aperture Radar Target Recognition
Usually radar target recognition methods only use a single type of high-resolution radar signal, e.g., high-resolution range profile (HRRP) or synthetic aperture radar (SAR) images. In fact, in the SAR imaging procedure, we can simultaneously obtain both
Lan Du +5 more
doaj +1 more source
Orthogonal waveform design is of great significance for simultaneous polarimetric high-resolution range profile (HRRP) reconstruction. In this paper, a novel waveform called a random orthogonal frequency division multiplexing (R-OFDM) pair is proposed ...
Qihua Wu +5 more
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