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Subspace methods for the blind identification of multichannel FIR filters
Abstract
This paper addresses a problem arising in a context of digital communications. A digital source is transmitted through a continuous channel (the propagation medium), and several measurements are performed at the receiver, either by means of several sensors, or by oversampling the received signal compared to the emission rate. Given only these observations, the baseband equivalents of the corresponding channels have to be recovered. An orthogonality property between "signal" and "noise" subspaces is exploited to build some quadratic form whose minimization yields the desired estimates up to a scale factor. This is in the same spirit as recent works by Tong et al. (see Proc. 25th Asilomar Conf., p.856-860, 1991) but requires fewer computations. Numerical simulations demonstrate the performance of the proposed methods in a channel identification context.>
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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
A class of frequency-domain adaptive approaches to blind multichannel identification
Huang, Y., & Benesty, J. (2003) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2002.806559 · Cited by 199
Adaptive multi-channel least mean square and Newton algorithms for blind channel identification
Huang, Y. A., & Benesty, J. (2002) · Signal Processing · doi:10.1016/s0165-1684(02)00247-5 · Cited by 121
Doclo, S., & Moonen, M. (2003) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/s111086570330602x · Cited by 96
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
- Moulines, E., Duhamel, P., Cardoso, J.-F., & Mayrargue, S.
- Venue
- IEEE Transactions on Signal Processing
- Published
- 1995
- Volume
- 43
- Issue
- 2
- Pages
- 516-525
- ISSN
- 1053-587X (ISSN-L)
- OpenAlex
- W2121202969
- Cited by
- 1,501
- References
- 0
- FWCI
- 73.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Subspace methods for the blind identification of multichannel FIR filters. https://app.cochat.ai/papers/10.1109/78.348133
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- Moulines, E., Duhamel, P., Cardoso, J.-F., & Mayrargue, S. (1995). Subspace methods for the blind identification of multichannel FIR filters. IEEE Transactions on Signal Processing. https://doi.org/10.1109/78.348133
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