Results 31 to 40 of about 13,471 (265)
The Geometry of Signal Detection with Applications to Radar Signal Processing [PDF]
Entropy, 2016 The problem of hypothesis testing in the Neyman–Pearson formulation is considered from a geometric viewpoint. In particular, a concise geometric interpretation of deterministic and random signal detection in the philosophy of information geometry is presented.
Yongqiang Cheng 0002 +4 more
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Coprime sampling for nonstationary signal in radar signal processing [PDF]
EURASIP Journal on Wireless Communications and Networking, 2013 Estimating the spectrogram of non-stationary signal relates to many important applications in radar signal processing. In recent years, coprime sampling and array attract attention for their potential of sparse sensing with derivative to estimate autocorrelation coefficients with all lags, which could in turn calculate the power spectrum density.
Qiong Wu 0006, Qilian Liang
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Imaging Algorithm for Rotor Synthetic Aperture Radar Using Stepped-frequency Waveform
Leida xuebao, 2014 For ROtor Synthetic Aperture Radar (ROSAR) using the stepped-frequency waveform, an imaging method based on Range Migration Correction (RMC) for ROSAR is proposed.
Zeng Cao +3 more
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Bistatic MIMO Radar Clutter Suppression by Exploiting the Transmit Angle
Leida xuebao, 2014 The transmit angle of bistatic radars can be obtained by introducing Multiple-Input Multiple-Output (MIMO) radar techniques. The Three-Dimensional (3D) clutter spectra, that is, the transmit angle, receive angle, and Doppler frequency, are introduced ...
Li Jun +3 more
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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
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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
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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
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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
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Radar and Radio Signal Processing [PDF]
Electronics, 2017 Radar is a technology used in many aspects of modern life, with many diverse civilian and military applications.[...]
John Ball, Nicolas Younan
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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