Fundamentals of wireless communication
Fundamentals of wireless communication
On the stability of the basis pursuit in the presence of noise
Signal Processing - Sparse approximations in signal and image processing
The finite Heisenberg-Weyl groups in radar and communications
EURASIP Journal on Applied Signal Processing
Uniform Uncertainty Principle and Signal Recovery via Regularized Orthogonal Matching Pursuit
Foundations of Computational Mathematics
Identification of Matrices Having a Sparse Representation
IEEE Transactions on Signal Processing
A generalized uncertainty principle and sparse representation in pairs of bases
IEEE Transactions on Information Theory
Sparse representations in unions of bases
IEEE Transactions on Information Theory
Greed is good: algorithmic results for sparse approximation
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Performance analysis of support recovery with joint sparsity constraints
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Compressed sensing for synthetic aperture radar imaging
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Beyond Nyquist: efficient sampling of sparse bandlimited signals
IEEE Transactions on Information Theory
Compressed sensing for MIMO radar: algorithms and performance
Asilomar'09 Proceedings of the 43rd Asilomar conference on Signals, systems and computers
Performance analysis for sparse support recovery
IEEE Transactions on Information Theory
Toeplitz compressed sensing matrices with applications to sparse channel estimation
IEEE Transactions on Information Theory
Image super-resolution based on multi-space sparse representation
ICIMCS '10 Proceedings of the Second International Conference on Internet Multimedia Computing and Service
Automatic container code recognition using compressed sensing method
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
Direct data domain STAP using sparse representation of clutter spectrum
Signal Processing
Generalized reconstruction algorithm for compressed sensing
Computers and Electrical Engineering
Intercept of frequency agility signal using coding Nyquist folding receiver
WSEAS Transactions on Signal Processing
SAR image reconstruction and autofocus by compressed sensing
Digital Signal Processing
Journal of Approximation Theory
Unit time-phase signal sets: Bounds and constructions
Cryptography and Communications
Detection of sparse targets with structurally perturbed echo dictionaries
Digital Signal Processing
Information Sciences: an International Journal
Galois automorphisms of a symmetric measurement
Quantum Information & Computation
Linear dependencies in Weyl---Heisenberg orbits
Quantum Information Processing
Systems of imprimitivity for the clifford group
Quantum Information & Computation
| Hi-index | 35.86 |
A stylized compressed sensing radar is proposed in which the time-frequency plane is discretized into an N × N grid. Assuming the number of targets K is small (i.e., K N2), then we can transmit a sufficiently "incoherent" pulse and employ the techniques of compressed sensing to reconstruct the target scene. A theoretical upper bound on the sparsity K is presented. Numerical simulations verify that even better performance can be achieved in practice. This novel-compressed sensing approach offers great potential for better resolution over classical radar.