Training-based channel estimation for multiple-antenna broadband transmissions

Training-based channel estimation for multiple-antenna broadband transmissions. Fragouli, C., Al-Dhahir, N., & Turin, W. IEEE Transactions on Wireless Communications, vol. 2, no. 2:pages 384–391, 2003.
abstract bibtex

This paper addresses the problem of training sequence design for multiple-antenna transmissions over quasi-static frequency-selective channels. To achieve the channel estimation minimum mean square error, the training sequences transmitted from the multiple antennas must have impulse-like auto correlation and zero cross correlation. We reduce the problem of designing multiple training sequences to the much easier and well-understood problem of designing a single training sequence with impulse-like auto correlation. To this end, we propose to encode the training symbols with a space-time code, that may be the same or different from the space-time code that encodes the information symbols.

@article{fragouli_training-based_2003,
 abstract = {This paper addresses the problem of training sequence design for multiple-antenna transmissions over quasi-static frequency-selective channels. To achieve the channel estimation minimum mean square error, the training sequences transmitted from the multiple antennas must have impulse-like auto correlation and zero cross correlation. We reduce the problem of designing multiple training sequences to the much easier and well-understood problem of designing a single training sequence with impulse-like auto correlation. To this end, we propose to encode the training symbols with a space-time code, that may be the same or different from the space-time code that encodes the information symbols.},
 type={2},
 author = {Fragouli, C. and Al-Dhahir, N. and Turin, W.},
 journal = {IEEE Transactions on Wireless Communications},
 pages = {pages 384--391},
 tags = {wireless,channel_coding},
 title = {Training-based channel estimation for multiple-antenna broadband transmissions},
 volume = {vol. 2, no. 2},
 year = {2003}
}

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