Results 51 to 60 of about 649 (174)
IEEE Access, 2018 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
Anti-jamming of Inverse Synthetic Aperture Radar based on Slope-varying Linear Frequency Modulation Signal [PDF]
, 2009 Deceptive jamming technology against inverse synthetic aperture radar is matured now, which is meaningful in military application. But the research on anti-jamming technology for inverse synthetic aperture radar (ISAR) is still not a mature technology ...
Hongqiang, Wang +3 more
core +2 more sources
Characterisation and Classification of Resident Space Objects Using Radar Networks
IET Radar, Sonar &Navigation, Volume 20, Issue 1, January/December 2026.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
Bispectrum- and Bicoherence-Based Discriminative Features Used for Classification of Radar Targets and Atmospheric Formations [PDF]
, 2017 This chapter is dedicated to bispectrum-based signal processing in the surveillance radar applications. Detection, recognition, and classification of the targets by surveillance radars have various applications including security, military intelligence ...
Egiazarian, Karen, Totsky, Alexander
core +1 more source
Velocity estimation and compensation approach for SFW radar visa IGSS
Electronics Letters, Volume 61, Issue 1, January/December 2025.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
Efficient Signal Processing for Frequency‐Agile Radar With Limited Computational Resources
Electronics Letters, Volume 61, Issue 1, January/December 2025.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
International Journal of Antennas and Propagation, 2017 Novel frequency domain extracted method (FDEM) to obtain high range resolution profile (HRRP) for frequency stepped synthetic aperture radar (SAR) is proposed in this paper, and the mathematical principle and formulas of this new HRRP obtaining idea ...
Can-bin Yin, Da Ran
doaj +1 more source
Leida xuebao, 2019 To address the problem of radar High-Resolution Range Profile (HRRP) target recognition, traditional methods only consider the envelope information of the sample and ignore the temporal correlation between the range cells.
LIU Jiaqi, CHEN Bo, JIE Xi
doaj +1 more source
Radar High-Resolution Range Profile Target Recognition by the Dual Parallel Sequence Network Model
International Journal of Antennas and Propagation, 2021 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
IET Radar, Sonar &Navigation, Volume 19, Issue 1, January/December 2025.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