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Blind identification and equalization based on second-order statistics: a time domain approach
Abstract
A new blind channel identification and equalization method is proposed that exploits the cyclostationarity of oversampled communication signals to achieve identification and equalization of possibly nonminimum phase (multipath) channels without using training signals. Unlike most adaptive blind equalization methods for which the convergence properties are often problematic, the channel estimation algorithm proposed here is asymptotically ex-set. Moreover, since it is based on second-order statistics, the new approach may achieve equalization with fewer symbols than most techniques based only on higher-order statistics. Simulations have demonstrated promising performance of the proposed algorithm for the blind equalization of a three-ray multipath channel.>
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Cited by
Eigenvalue-based spectrum sensing algorithms for cognitive radio
Zeng, Y., & Liang, Y.-C. (2009) · IEEE Transactions on Communications · doi:10.1109/tcomm.2009.06.070402 · Cited by 1,258
Convergence of stochastic-approximation-based algorithms for blind channel identification
Chen, H.-F., Cao, X.-R., & Zhu, J. (2002) · IEEE Transactions on Information Theory · doi:10.1109/18.995653 · Cited by 19
Metadata
- Authors
- Tong, L., Xu, G., & Kailath, T.
- Venue
- IEEE Transactions on Information Theory
- Published
- 1994-03
- Volume
- 40
- Issue
- 2
- Pages
- 340-349
- ISSN
- 0018-9448 (ISSN-L)
- OpenAlex
- W2137358528
- Cited by
- 1,078
- References
- 0
- FWCI
- 33.52
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Blind identification and equalization based on second-order statistics: a time domain approach. https://app.cochat.ai/papers/10.1109/18.312157
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- Tong, L., Xu, G., & Kailath, T. (1994). Blind identification and equalization based on second-order statistics: a time domain approach. IEEE Transactions on Information Theory. https://doi.org/10.1109/18.312157
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