@article{komninakis_channel_1999,
 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. Optimal sequences do not exist for all training sequence lengths and constellation alphabets. We also propose a method to easily identify training sequences that belong to a standard 2m-PSK constellation for an arbitrary training sequence length and an arbitrary number of unknown channel taps. Performance bounds derived indicate that these sequences achieve near-optimum performance.},
 type={4},
 author = {Komninakis, C. and Fragouli, C. and Wesel, R. D. and Sayed, A. H.},
 journal = {33rd Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, October 24-27},
 tags = {wireless},
 title = {Channel estimation and equalization in fading},
 year = {1999}
}

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