Results 31 to 40 of about 527,568 (195)
A SIFT Algorithm for Bistatic SAR Imaging in Spaceborne Constant-offset Configuration (in English)
Leida xuebao, 2013 Focusing on the problem of the space-variance of the range cell migration term for bistatic Synthetic Aperture Radar (SAR), a Scaled Inverse Fourier Transform (SIFT) based imaging algorithm for constant-offset configuration bistatic SAR data processing ...
Chen Shi-chao +3 more
doaj +1 more source
Radar Forward-looking Super-resolution Imaging Method Based on Sparse and Low-rank Priors
Leida xuebao, 2023 Radar forward-looking imaging is important in many fields, such as precision guidance, autonomous landing, and terrain mapping. Due to the constraints of actual radar aperture, obtaining high-resolution images using the traditional forward-looking ...
Junkui TANG +4 more
doaj +1 more source
Research Progress and Prospect for the Noval Waveform Diverse Array Radar
Leida xuebao, 2021 It is difficult for the traditional radar to suppress deceptive mainlobe interference and separate the range ambiguous clutter. The proposal of a waveform diverse array changes the way of obtaining information through utilizing degrees-of-freedom in the ...
Shengqi ZHU +4 more
doaj +1 more source
A New Radar Signal Multiparameter-Based Deinterleaving Method [PDF]
arXiv, 2022 Radar signal deinterleaving has been extensively and thoroughly investigated in the electronic reconnaissance field. In this work, a new radar signal multiparameter-based deinterleaving method is proposed. In this method, semantic information composed of the pulse repetition interval (PRI), pulse width (PW), radio frequency (RF), and pulse amplitude ...
arxiv
MEO SAR Imaging Based on Imaging Coordinate System Optimization
Leida xuebao, 2020 In the Medium-Earth-Orbit Synthetic Aperture Radar (MEO SAR), the curved trajectory and long synthetic aperture time lead to a two-dimensional spatial variation in the signals.
Hang LI +5 more
doaj +1 more source
Remote Sensing, 2022 The clutter background in modern radar target detection is complex and changeable. The performance of classical detectors based on parametric statistical modeling methods is often degraded due to model mismatch. Existing data-driven deep learning methods
Xueling Liang +4 more
doaj +1 more source
Sensors, 2022 Caenorhabditis elegans (C. elegans) exhibits sophisticated chemotaxis behavior with a unique locomotion pattern using a simple nervous system only and is, therefore, well suited to inspire simple, cost-effective robotic navigation schemes.
Mohan Chen +4 more
doaj +1 more source
Forward-Looking Super-Resolution Imaging of MIMO Radar via Sparse and Double Low-Rank Constraints
Remote Sensing, 2023 Multiple-input multiple-output (MIMO) radar uses waveform diversity technology to form a virtual aperture to improve the azimuth resolution of forward-looking imaging.
Junkui Tang +4 more
doaj +1 more source
3D Fully Polarimetric Attributed Scattering Center Extraction Based on Sequential 2D SAR Images
IEEE Access, 2019 Compared with the two-dimensional (2D) attributed scattering center model (ASCM), three dimensional (3D) fully polarimetric attributed scattering center model (FP-ASCM) is able to directly offer the target location, size, and orientation in 3D space ...
Yue Zhao +4 more
doaj +1 more source
Deep Learning-based Link Configuration for Radar-aided Multiuser mmWave Vehicle-to-Infrastructure Communication [PDF]
arXiv, 2022 Configuring millimeter wave links following a conventional beam training protocol, as the one proposed in the current cellular standard, introduces a large communication overhead, specially relevant in vehicular systems, where the channels are highly dynamic.
arxiv