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
doaj +1 more source
Radar High Resolution Range Profile Recognition with Small Sample Set Based on Linear Gaussian Mixture Dynamic Model [PDF]
A novel recognition method is proposed to relieve the heavy requirement of training samples in the radar High Resolution Range Profile (HRRP) target recognition.
Xia Shuangzhi +2 more
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
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
De-Noising of HRRP Using EMD for Improvement of Target Identification Performance [PDF]
본 논문에서는 레이다 표적식별 성능을 향상시키기 위하여 고해상도 거리측면도(High Resolution Range Profile: HRRP) 에 포함된 잡음을 효과적으로 제거하는 방법을 제안한다. 제안된 기법은 HRRP에 포함된 잡음의 통계적인 특성과 EMD (Empirical Mode Decomposition) 알고리즘을 이용하여 HRRP에 포함된 잡음을 효과적으로 제거한다.
SEUNG, JAE LEE +3 more
core +1 more source
End-to-End Radar HRRP Target Recognition Based on Integrated Denoising and Recognition Network [PDF]
For high-resolution range profile (HRRP) radar target recognition in a low signal-to-noise ratio (SNR) scenario, traditional methods frequently perform denoising and recognition separately.
Li Wang, Xueru Bai, Xiaodan Liu
core +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
doaj +1 more source
Radar HRRP Target Recognition Based on Dynamic Learning with Limited Training Data [PDF]
For high-resolution range profile (HRRP)-based radar automatic target recognition (RATR), adequate training data are required to characterize a target signature effectively and get good recognition performance.
Lei Ran +3 more
core +1 more source
Characterisation and Classification of Resident Space Objects Using Radar Networks
This paper describes a simulated environment for generating Inverse Synthetic Aperture Radar (ISAR) images and interferometric point clouds using a three‐receiver radar configuration, along with the creation of extensive datasets to train and evaluate deep learning models under varying Signal‐to‐Noise Ratio (SNR) conditions. Findings show that modified
Manjunath Thindlu Rudrappa +2 more
wiley +1 more source

