Results 51 to 60 of about 360 (149)
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
doaj +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
This article proposes a method that a single radar was used for the first time to estimate the micromotion parameters and geometric information of a precession cone‐cylinder target with unknown precession angle by utilising the relationship between the curves of each scattering point in high‐resolution range profile (HRRP) and time–frequency diagram ...
Fu‐Long Xu +4 more
wiley +1 more source
Novel approach for ballistic targets classification from HRRP frame [PDF]
Nowadays the challenge of the identification of Ballistic Missile (BM) warheads in a cloud of decoys and debris is essential for the defence system in order to optimize the use of ammunition resources avoiding to run out of all the available interceptors
Clemente, Carmine +7 more
core +1 more source
Velocity estimation and compensation approach for SFW radar visa IGSS
This paper introduces a pioneering velocity estimation technique utilizing the fractional Fourier transform (FrFT) to address these limitations. Leveraging the characteristic of the Doppler signal from a moving target, which manifests as a chirp signal with a rate proportional to the target's velocity, the FrFT is utilized for precise velocity ...
Bo Peng, Caixia Qiao, Qile Chen
wiley +1 more source
Radar High-Resolution Range Profile Target Recognition by the Dual Parallel Sequence Network Model
Using traditional neural network algorithms to adapt to high-resolution range profile (HRRP) target recognition is a complex problem in the current radar target recognition field. Under the premise of in-depth analysis of the long short-term memory (LSTM)
Jizhou Wu, Hongmin Zhang, Xuanhao Gao
doaj +1 more source
Efficient Signal Processing for Frequency‐Agile Radar With Limited Computational Resources
This letter designs the transmitted waveform for frequency‐agile radar to transform the velocity‐related phase into a linear phase and, based on this, proposes a fast high‐resolution range profile generation method for frequency‐agile radar that does not require velocity compensation.
Zexi Wei, Dinghong Lu, Zhe Cao
wiley +1 more source
This paper proposes an improved radar HRRP target recognition method by leveraging a modified Short‐Time Fourier Transform (STFT) module and a Convolutional Neural Network (CNN). The method incorporates multi‐scale analysis and differential processing to enhance feature extraction, demonstrating superior robustness and accuracy across varying signal‐to‐
Xiaohui Wei, Zhulin Zong
wiley +1 more source
High-resolution range profile (HRRP), characterized by its high availability and rich target structural information, has been extensively studied. However, HRRP-based target recognition methods using closed datasets exhibit limitations when it comes to ...
Henry Leung +3 more
core +1 more source

