Advanced Array Signal Processing for Target Imaging and Detection

© 2024 by the authors; CC BY-NC-ND license

convergence zone; transmission loss; Wentze–Kramers–Brillouin approximation; coupled normal mode; electronic warfare; intelligent game; jamming power dynamic allocation; neural fictitious self-play; deep reinforcement learning; Nash equilibrium; azimuth missing data; maximum depth of focus; SAR imaging scene size; segmentation SAR imaging; complementary waveforms; pointwise thresholding processor; Doppler resolution; sidelobe suppression; array signal processing; sparse Bayesian learning; direction estimation; pulse noise; non-Gaussian impulsive noises; detection and reconstruction of weak spectral lines; deep learning; underwater acoustic communication; subcarrier multiplexing; neural networks; coherence bandwidth; equalizers; detectors; ArcSAR; direction estimation; unmanned ground vehicle; IAA; back projection algorithm (BPA); millimeter-wave radar; 3D sensing system; MIMO radar; Space–Time–Range; Joint Adaptive Focusing and Detection; Doppler frequency shift; MSE; three-dimensional sidelobe; clutter and noise suppression; side-scan sonar; deconvolution; image quality; contrast ratio; object segmentation; multiband antenna; sparse array; adaptive beamforming; sidelobe level control; circular synthetic aperture radar; odd-bounce reflection; even-bounce reflection; vehicle target; information extraction; 3D contour reconstruction; “top–bottom shifting” effect; robust Capon beamforming (RCB); sparse group constraints; alternating-direction method of multipliers (ADMM); two-dimensional beampatterns; time-varying impulse response; drift compensation; structured channel estimate; underwater sonar; weak target detection; direction of arrival estimation (DOA); pentagram geometry; steering manifold matrix; wideband signals; spherical radar coordinate system; direction-of-arrival (DOA) estimation; deep learning; matrix recovery; source depth discrimination; modal interference in frequency–depth plane; generalized waveguide variant; shallow water with a thermocline; nonlinear blind source separation; ship-radiated noise; underwater acoustic nonlinear propagation; attention mechanism; recurrent neural networks; genralized coprime sampling; power spectrum sensing; non-sparsity; blind sensing; cyclostationary; activity recognition; WiFi sensing; transfer learning; CSI; ResNet18; asynchronous distributed hydrophones; shallow water; passive source localization; frequency invariability of acoustic field; DOA estimation; lightweight deep neural network; data redundancy; deep learning; regression