The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Subspace-based channel estimation for code division multiple access communication systems
Abstract
We consider the estimation of channel parameters for code-division multiple access (CDMA) communication systems operating over channels with either single or multiple propagation paths. The multiuser channel estimation problem is decomposed into a series of single user problems through a subspace-based approach. By exploiting the eigenstructure of the received signal's sample correlation matrix, the observation space can be partitioned into a signal subspace and a noise subspace without prior knowledge of the unknown parameters. The channel estimate is formed by projecting a given user's spreading waveform into the estimated noise subspace and then either minimizing the likelihood or minimizing the Euclidean norm of this projection. Both of these approaches yield algorithms which are near-far resistant and do not require a preamble.
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(2007) · Electronics: A First Course · doi:10.4324/9780080477527-64 · Cited by 24,923
ESPRIT-estimation of signal parameters via rotational invariance techniques
Roy, R., & Kailath, T. (1989) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/29.32276 · Cited by 7,289
Detection of signals by information theoretic criteria
Wax, M., & Kailath, T. (1985) · IEEE Transactions on Acoustics, Speech, and Signal Processing · doi:10.1109/tassp.1985.1164557 · Cited by 3,426
A Statistical Model for Indoor Multipath Propagation
Saleh, A. A. M., & Valenzuela, R. (1987) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.1987.1146527 · Cited by 3,398
Aspects of Multivariate Statistical Theory
Gleser, L. J. (1984) · Technometrics · doi:10.1080/00401706.1984.10487948 · Cited by 3,277
Aspects of multivariate statistical theory
Muirhead, R. J. 1. (1982) · Cited by 3,032
Aspects of Multivariate Statistical Theory
Muirhead, R. J. (1982) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316559 · Cited by 2,260
Array Signal Processing: Concepts and Techniques
Johnson, D. H., & Dudgeon, D. E. (1993) · Medical Entomology and Zoology · Cited by 1,940
Theory of Spread-Spectrum Communications - A Tutorial
Pickholtz, R., Schilling, D., & Milstein, L. (1982) · IEEE Transactions on Communications · doi:10.1109/tcom.1982.1095533 · Cited by 1,370
Multistage detection in asynchronous code-division multiple-access communications
Varanasi, M. K., & Aazhang, B. (1990) · IEEE Transactions on Communications · doi:10.1109/26.52662 · Cited by 1,269
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Cited by
Blind PARAFAC receivers for DS-CDMA systems
Sidiropoulos, N. D., Giannakis, G. B., & Bro, R. (2000) · IEEE Transactions on Signal Processing · doi:10.1109/78.824675 · Cited by 560
Metadata
- Authors
- Bensley, S. E., & Aazhang, B.
- Venue
- IEEE Transactions on Communications
- Published
- 1996
- Volume
- 44
- Issue
- 8
- Pages
- 1009-1020
- ISSN
- 0090-6778 (ISSN-L)
- OpenAlex
- W2158620689
- Cited by
- 485
- References
- 13
- FWCI
- 33.44
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bensley, S. E., & Aazhang, B. (1996). Subspace-based channel estimation for code division multiple access communication systems. IEEE Transactions on Communications. https://doi.org/10.1109/26.535441
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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