Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section Measurement

doi:10.3390/books978-3-03936-143-4

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Keywords

inverse synthetic aperture ladar (ISAL); maneuvering target; integral cubic phase function (ICPF); fractional Fourier transform (FRFT); non-uniform fast Fourier transform (NUFFT); CLEAN technique; simultaneous polarimetric radar; constant modulus sequences; correlation properties; doppler tolerance; saliency preprocessing LLC; saliency detection; image processing; scene classification; antenna array; automatic guided vehicle; DoA/DoD estimation; MIMO radar; direct position determination; Doppler; Doppler rate; maximum likelihood estimator; coherent pulse trains; single moving sensor; Cramer–Rao lower bound; bistatic MIMO radar; DOD/DOA estimation; mutual coupling; off-grid sparse problem; unmanned aerial vehicle; clustering methods; man-made targets; synthetic aperture radar (SAR); inverse synthetic aperture radar (ISAR); polarimetric decomposition; Synthetic Aperture Radar (SAR); microwave imaging; constitutive parameters; conductivity; permittivity; tomography; RF MEMS; switch; analytical approach; low control voltage; high switching speed; high reliability; radar echo cancellation; frequency shifting modulation; interrupted sampling; radar jamming; deception jamming; remote sensing; SAR; radon transform; speckle noise filtering; maritime traffic monitoring; wake detection and analysis; synthetic aperture radar; differential SAR tomography; squinted SAR; 3-D deformation; 2-D PPS; maneuvering target detection; coherent integration; motion parameter estimation; second-order phase difference (SoPD); time-frequency analysis; image fusion; sparse representation; hyperbolic tangent function; guided filter; synthetic aperture radar; narrowband interference separation; block sparse Bayesian learning; sensing matrix optimization; block coherence measure; bistatic inverse synthetic aperture radar; linear geometry distortion; prior information; least square error; lunar penetrating radar; local correlation; SNR; K-L transform; seislet transform; generative adversarial nets; through-wall radar imaging; multipath ghost suppression; generator and discriminator; ultrahigh resolution; synthetic aperture radar (SAR); spaceborne; curved orbit; series reversion; singular value decomposition (SVD); deramping-based approach; crosshole ground penetrating radar (GPR); Bayesian inversion; Markov chain Monte Carlo (MCMC); forward model; modeling error; discrete cosine transform (DCT); through-wall imaging; contrast target detection; clutter reduction; entropy thresholding; low-rank approximation; time-frequency analysis; S-transformation; ISAR; micro-Doppler; synchrosqueezing; PBR (passive bistatic radar); clutter suppression; non-uniform grid; dilation morphology; passive bistatic radar; phased array radar; parameter estimation; coherent integration; aircraft surveillance; GPR; seasonal permafrost; electromagnetic wave attribute; relative water content; marine radar; wind direction retrieval; small wind streak; local gradient method; adaptive reduced method; energy spectrum method; metamaterial absorber; double negative; dual-band; FMCW radio altimeter; methodological error; critical height; altitude measurement accuracy; height pulses; ultra-wide frequency deviation; synthetic aperture radar; sparse recovery; wideband noise interference; dechirping; subspace extraction; denoising detection; orthogonal matching pursuit; pulse radar; rotating target; micro-motion feature extraction; interrupted transmitting and receiving (ITR); dual-polarized radar; DOA estimation; atomic norm; off-grid sparse problem; comprehensive SAR; multiparametric SAR observation; discrete scatterer model; n/a

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Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section Measurement

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June 2020

570 pages

ISBN978-3-03936-142-7 (Paperback)
ISBN978-3-03936-143-4 (PDF)

https://doi.org/10.3390/books978-3-03936-143-4

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This is a Reprint of the Special Issue Advanced Technology Related to Radar Signal, Imaging, and Radar Cross-Section Measurement that was published in

Computer Science & Mathematics

Engineering

Summary

Radar-related technology is mainly processed within the time and frequency domains but, at the same time, is a multi-dimensional integrated system including a spatial domain for transmitting and receiving electromagnetic waves. As a result of the enormous technological advancements of the pioneers actively discussed in this book, research and development in multi-dimensional undeveloped areas is expected to continue. This book contains state-of-the-art work that should guide your research.

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