The proceedings contain 86 papers. The topics discussed include: sparse array and precoding design for integrated sensing and communications systems;geometry-aided near-field MIMO communications via forward-backward b...
ISBN:
(纸本)9798350344813
The proceedings contain 86 papers. The topics discussed include: sparse array and precoding design for integrated sensing and communications systems;geometry-aided near-field MIMO communications via forward-backward beamformer training;a decentralized asynchronous optimization algorithm with an application to phase retrieval;DynaPA: dynamic power allocation for improved exploration-exploitation in active sensing;receiver antenna allocation for joint sensing and communications;labeling sequential data from noisy annotations;calibration of polarimetric antenna arrays using neural networks;variable selection for Max-Affine regression via sparse gradient descent;experimental evaluation of a null-steered performance weighted blended beamformer;and distributed sparse subspace clustering by k-means subspace fusion.
The proceedings contain 94 papers. The topics discussed include: federated channel learning for intelligent reflecting surfaces with fewer pilot signals;statistical analyses of measured forward-looking sonar echo data...
ISBN:
(纸本)9781665406338
The proceedings contain 94 papers. The topics discussed include: federated channel learning for intelligent reflecting surfaces with fewer pilot signals;statistical analyses of measured forward-looking sonar echo data in a shallow water environment;passive angle-doppler profile estimation for narrowband digitally modulated wireless signals;dynamic TDD enabled distributed antenna array massive MIMO system;joint source enumeration and direction finding without eigendecomposition for satellite navigation receiver;sparse signal recovery using a binary program;gradient-descent adaptive filtering using gradient adaptive step-size;non-coherent source localization with distributed sensorarray networks;and joint location and channel error optimization for beamforming design for multi-RIS assisted MIMO system.
The proceedings contain 162 papers. The topics discussed include: 2D DOA estimation for uniform rectangular array with one-bit measurement;3D parametric channel estimation for multi-user massive-MIMO OFDM systems;a bl...
ISBN:
(纸本)9781728119465
The proceedings contain 162 papers. The topics discussed include: 2D DOA estimation for uniform rectangular array with one-bit measurement;3D parametric channel estimation for multi-user massive-MIMO OFDM systems;a blind direction of arrival and mutual coupling estimation scheme for nested array;a compressive sensing approach for single-snapshot adaptive beamforming;a general ESPRIT method for noncircularity-based incoherently distributed sources;a general framework for the robustness of structured difference coarrays to element failures;a gridless method for DOA estimation under the coexistence of mutual coupling and unknown nonuniform noise;a gridless wideband doa estimation based on atomic norm minimization;a new hyperspectral compressed sensing method for efficient satellite communications;a note on the maximum number of sources in DOA estimation by mode;and a novel NLOS target localization method with a synthetic bistatic MMW radar.
Jun.8～11,2020 Hangzhou,China Submission deadline:Dec.15,2019 ABOUT CONFERENCE The SAM workshop is an important IEEE signalprocessing Society event dedicated to sensorarray and multichannelsignalprocessing with ab...
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Jun.8～11,2020 Hangzhou,China Submission deadline:Dec.15,2019 ABOUT CONFERENCE The SAM workshop is an important IEEE signalprocessing Society event dedicated to sensorarray and multichannelsignalprocessing with about 200 *** organizing committee invites the international community to contribute with state-of-the-art developments in the field.
The proceedings contain 133 papers. The topics discussed include: SVM-based tool to detect patients with multiple sclerosis using a commercial EMG sensor;hybrid particle filtering based on an elitist resampling scheme...
The following topics are dealt with: arraysignalprocessing; direction-of-arrival estimation; minimisation; MIMO radar; radar signalprocessing; MIMO communication; acoustic signalprocessing; optimisation; covarianc...
The following topics are dealt with: arraysignalprocessing; direction-of-arrival estimation; minimisation; MIMO radar; radar signalprocessing; MIMO communication; acoustic signalprocessing; optimisation; covariance matrices; computational complexity.
The proceedings contain 156 papers. The topics discussed include: low-complexity DOA estimation based on Hermitian EVDS;switched-randomized robust PCA for foreground and background separation in video surveillance;an ...
ISBN:
(纸本)9781509021031
The proceedings contain 156 papers. The topics discussed include: low-complexity DOA estimation based on Hermitian EVDS;switched-randomized robust PCA for foreground and background separation in video surveillance;an optimal polarization tracking algorithm for lithium-niobate-based polarization controllers;sliding-window homotopy adaptive filter for estimation of sparse UWA channels;low-rank robust adaptive beamforming techniques using joint iterative optimization;cooperative navigation and coverage identification with random gossip and sensor fusion;stream selection methods for non-regenerative mimo relay networks;comparing antenna selection and hybrid precoding for millimeter wave wireless communications;joint MSINR and relay selection algorithms for distributed beamforming;performance analysis of a persymmetric adaptive matched filter;channel estimation and uplink achievable rates in one-bit massive MIMO systems;distributed fractional programming in matched multiple access channels;and new Crameár-Rao bound expressions for coprime and other sparse arrays.
This paper addresses the efficient implementation of signalprocessing algorithms tailored for multichannelsensorarray systems, with a particular focus on an underwater acoustic surveillance and detection applicatio...
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Tracking signals in dynamic environments presents difficulties in both analysis and implementation. In this work, we expand on a class of subspace tracking algorithms which utilize the Grassmann manifold - the set of ...
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ISBN:
(纸本)9798350344820;9798350344813
Tracking signals in dynamic environments presents difficulties in both analysis and implementation. In this work, we expand on a class of subspace tracking algorithms which utilize the Grassmann manifold - the set of linear subspaces of a high-dimensional vector space. We design regularized least squares algorithms based on common manifold operations and intuitive dynamical models. We demonstrate the efficacy of the approach for a narrowband beamforming scenario, where the dynamics of multiple signals of interest are captured by motion on the Grassmannian.
The classic DSP sampling property: "(Uniform) sampling of a bandlimited signal leads to (perfect) replication in the spectral domain." does not hold in the vertex Graph signalprocessing (GSP) model. Samplin...
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ISBN:
(纸本)9798350344820;9798350344813
The classic DSP sampling property: "(Uniform) sampling of a bandlimited signal leads to (perfect) replication in the spectral domain." does not hold in the vertex Graph signalprocessing (GSP) model. Sampling uniformly in GSP does not lead to perfect replicas, but rather distorted replicas [1]. In [2], we introduced a Step 1-Step 2 Companion Model Method, S2CM2, as a way to introduce new GSP concepts. The GSP companion model is closest to the DSP time model (with different boundary conditions), making it easier to extend DSP concepts. In this paper, we consider GSP sampling in the companion model. We show that GSP sampling theory in the companion model is similar to DSP sampling theory by illustrating the four sampling steps: Subsampling, Decimation, Upsampling, Interpolation, in the companion model.
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