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Advanced Array Signal Processing for Target Imaging and Detection
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This reprint focuses on the analytical and experimental research of advanced array signal processing techniques, which are significant to the promotion of radar and sonar signal processing. The advanced array signal processing methods for target detection, imaging, and recognition using radar and sonar in a wide range of complex adverse environments with strong background noise/jamming are of particular interest, especially in terms of waveform design, synthetic aperture radar/sonar, direction of arrival estimation, adaptive beamforming, multiple-input multiple-output, and deep learning for target detection.
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Keywords
- 3D contour reconstruction
- 3D sensing system
- activity recognition
- adaptive beamforming
- alternating-direction method of multipliers (ADMM)
- ArcSAR
- array signal processing
- asynchronous distributed hydrophones
- attention mechanism
- azimuth missing data
- back projection algorithm (BPA)
- blind sensing
- circular synthetic aperture radar
- clutter and noise suppression
- coherence bandwidth
- complementary waveforms
- contrast ratio
- convergence zone
- coupled normal mode
- CSI
- cyclostationary
- data redundancy
- deconvolution
- deep learning
- deep reinforcement learning
- detection and reconstruction of weak spectral lines
- Detectors
- direction estimation
- direction of arrival estimation (DOA)
- direction-of-arrival (DOA) estimation
- DOA estimation
- Doppler frequency shift
- Doppler resolution
- drift compensation
- electronic warfare
- equalizers
- even-bounce reflection
- frequency invariability of acoustic field
- generalized waveguide variant
- genralized coprime sampling
- IAA
- image quality
- Information Extraction
- intelligent game
- jamming power dynamic allocation
- Joint Adaptive Focusing and Detection
- lightweight deep neural network
- matrix recovery
- maximum depth of focus
- Millimeter-Wave Radar
- MIMO radar
- modal interference in frequency–depth plane
- MSE
- multiband antenna
- nash equilibrium
- neural fictitious self-play
- neural networks
- non-Gaussian impulsive noises
- non-sparsity
- nonlinear blind source separation
- object segmentation
- odd-bounce reflection
- passive source localization
- pentagram geometry
- pointwise thresholding processor
- power spectrum sensing
- pulse noise
- recurrent neural networks
- régression
- ResNet18
- robust Capon beamforming (RCB)
- SAR imaging scene size
- segmentation SAR imaging
- shallow water
- shallow water with a thermocline
- ship-radiated noise
- side-scan sonar
- sidelobe level control
- sidelobe suppression
- source depth discrimination
- Space–Time–Range
- sparse array
- Sparse Bayesian Learning
- sparse group constraints
- spherical radar coordinate system
- steering manifold matrix
- structured channel estimate
- subcarrier multiplexing
- three-dimensional sidelobe
- time-varying impulse response
- transfer learning
- transmission loss
- two-dimensional beampatterns
- underwater acoustic communication
- underwater acoustic nonlinear propagation
- underwater sonar
- unmanned ground vehicle
- vehicle target
- weak target detection
- Wentze–Kramers–Brillouin approximation
- wideband signals
- WiFi sensing
- “top–bottom shifting” effect
Links
DOI: 10.3390/books978-3-7258-1314-8Editions