The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.
High-Resolution Radar via Compressed Sensing
Open accessAbstract
A stylized compressed sensing radar is proposed in which the time-frequency plane is discretized into an N times N grid. Assuming the number of targets K is small (i.e., K Lt N2), then we can transmit a sufficiently ldquoincoherentrdquo 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.
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Donoho, D. L. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2006.871582 · Cited by 23,994
Donoho, D. L. (2004) · Cited by 16,703
Candes, E. J., Romberg, J., & Tao, T. (2006) · IEEE Transactions on Information Theory · doi:10.1109/tit.2005.862083 · Cited by 15,639
Fundamentals of Wireless Communication
Tse, D., & Viswanath, P. (2005) · doi:10.1017/cbo9780511807213 · Cited by 13,162
Greed is Good: Algorithmic Results for Sparse Approximation
Tropp, J. A. (2004) · IEEE Transactions on Information Theory · doi:10.1109/tit.2004.834793 · Cited by 3,635
Foundations of Time-Frequency Analysis
Gröchenig, K. (2001) · Applied and Numerical Harmonic Analysis · doi:10.1007/978-1-4612-0003-1 · Cited by 2,923
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Gribonval, R., & Nielsen, M. (2003) · IEEE Transactions on Information Theory · doi:10.1109/tit.2003.820031 · Cited by 960
Grassmannian frames with applications to coding and communication
Strohmer, T., & Heath, R. W. (2003) · Applied and Computational Harmonic Analysis · doi:10.1016/s1063-5203(03)00023-x · Cited by 955
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Cited by
Compressed Sensing Off the Grid
Tang, G., Bhaskar, B. N., Shah, P., & Recht, B. (2013) · IEEE Transactions on Information Theory · doi:10.1109/tit.2013.2277451 · Cited by 1,163
Beyond Nyquist: Efficient Sampling of Sparse Bandlimited Signals
Tropp, J. A., Laska, J. N., Duarte, M. F., Romberg, J. K., & Baraniuk, R. G. (2010) · IEEE Transactions on Information Theory · doi:10.1109/tit.2009.2034811 · Cited by 1,089
Compressive Sensing by Random Convolution
Romberg, J. (2009) · SIAM Journal on Imaging Sciences · doi:10.1137/08072975x · Cited by 458
Metadata
- Authors
- Herman, M. A., & Strohmer, T.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 2009-06
- Volume
- 57
- Issue
- 6
- Pages
- 2275-2284
- ISSN
- 1053-587X (ISSN-L)
- 1941-0476
- OpenAlex
- W2140122025
- Cited by
- 1,048
- References
- 21
- FWCI
- 76.90
- Type
- journal article
- Language
- en
- Open access
- green
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