Sparse recovery formulation for secure distance-based localization in the presence of cheating anchors
Sign Up to like & getrecommendations! Published in 2018 at "Wireless Networks"
DOI: 10.1007/s11276-017-1490-5
Abstract: Secure localization in the presence of cheating anchors is a critical issue in wireless sensor networks, where compromised anchors attempt to falsify the measured distances in the location references. In this study, such misbehaviors of… read more here.
Keywords: cheating anchors; recovery; presence cheating; sparse recovery ... See more keywords
Learning-based accelerated sparse signal recovery algorithms
Sign Up to like & getrecommendations! Published in 2021 at "ICT Express"
DOI: 10.1016/j.icte.2021.03.011
Abstract: Abstract In this paper, we propose an accelerated sparse recovery algorithm based on inexact alternating direction of multipliers. We formulate a sparse recovery problem with a concave regularizer and solve it with the relaxed and… read more here.
Keywords: accelerated sparse; learning based; recovery algorithms; recovery ... See more keywords
A new greedy algorithm for sparse recovery
Sign Up to like & getrecommendations! Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.05.022
Abstract: Abstract Compressed sensing (CS) has been one of the great successes of applied mathematics in the last decade. This paper proposes a new method, combining the advantage of the Compressive Sampling Matching Pursuit (CoSaMP) algorithm… read more here.
Keywords: recovery; algorithm; greedy algorithm; algorithm sparse ... See more keywords
An Armijo-Type Hard Thresholding Algorithm for Joint Sparse Recovery
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3097216
Abstract: Joint sparse recovery (JSR) in compressed sensing simultaneously recovers sparse signals with a common sparsity structure from their multiple measurement vectors obtained through a common sensing matrix. In this paper, we present an Armijo-type hard… read more here.
Keywords: armijo type; joint sparse; type hard; hard thresholding ... See more keywords
Multitarget Detection in Passive MIMO Radar Using Block Sparse Recovery
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3108195
Abstract: In this paper, we develop a new algorithm for centralized target detection in passive MIMO radar (PMR) using sparse recovery technique. PMRs use a network of receivers and illuminators of opportunity to detect and localize… read more here.
Keywords: detection; mimo radar; detection passive; passive mimo ... See more keywords
Unambiguous Sparse Recovery of Migrating Targets With a Robustified Bayesian Model
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2018.2848360
Abstract: The problem considered is that of estimating unambiguously migrating targets observed with a wideband radar. We extend a previously described sparse Bayesian algorithm to the presence of diffuse clutter and off-grid targets. A hybrid-Gibbs sampler… read more here.
Keywords: migrating targets; recovery migrating; targets robustified; robustified bayesian ... See more keywords
A Joint Indoor WLAN Localization and Outlier Detection Scheme Using LASSO and Elastic-Net Optimization Techniques
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Mobile Computing"
DOI: 10.1109/tmc.2016.2616465
Abstract: In this paper, we introduce two indoor Wireless Local Area Network (WLAN) positioning methods using augmented sparse recovery algorithms. These schemes render a sparse user's position vector, and in parallel, minimize the distance between the… read more here.
Keywords: scheme; outlier detection; sparse recovery; localization ... See more keywords
Weakly Convex Regularized Robust Sparse Recovery Methods With Theoretical Guarantees
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2019.2935906
Abstract: Robust sparse signal recovery against impulsive noise is a core issue in many applications. Numerous methods have been proposed to recover the sparse signal from measurements corrupted by various impulsive noises, but most of them… read more here.
Keywords: sparse signal; weakly convex; recovery; robust sparse ... See more keywords
Simultaneous Sparse Recovery and Blind Demodulation
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2019.2935910
Abstract: The task of finding a sparse signal decomposition in an overcomplete dictionary is made more complicated when the signal undergoes an unknown modulation (or convolution in the complementary Fourier domain). Such simultaneous sparse recovery and… read more here.
Keywords: simultaneous sparse; recovery blind; blind demodulation; recovery ... See more keywords
Sensing Matrix Design and Sparse Recovery on the Sphere and the Rotation Group
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2020.2973545
Abstract: In this article, the goal is to design deterministic sampling patterns on the sphere and the rotation group and, thereby, construct sensing matrices for sparse recovery of band-limited functions. It is first shown that random… read more here.
Keywords: sensing matrices; sampling patterns; coherence; rotation group ... See more keywords
Velocity Awareness in Vehicular Networks via Sparse Recovery
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2017.2703133
Abstract: In this paper, we study the problem of velocity estimation in vehicular networks by exploiting the sparsity of vehicle velocity trajectory. First, we exploit the sparsity of vehicular velocity trajectories to reduce the beaconing load… read more here.
Keywords: recovery velocity; velocity awareness; vehicular networks; velocity ... See more keywords