Reduced-complexity training schemes for multiple-antenna broadband transmissions
- 25 June 2003
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 78-83
- https://doi.org/10.1109/wcnc.2002.993467
Abstract
This paper addresses the problem of training sequence design for multiple-antenna transmissions over quasi-static frequency-selective channels. As performance metric for channel estimation, mean square error is adopted. To achieve the minimum mean square error, the training sequences transmitted from the multiple antennas must have impulse-like autocorrelation and zero crosscorrelation. 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 sequences with a space-time code, that may be the same or different from the space-time code that encodes the information symbols. Designing one instead of multiple training sequences reduces the search space significantly and simplifies the construction of optimal or suboptimal training sequences.Keywords
This publication has 7 references indexed in Scilit:
- Training sequence design for adaptive equalization of multi-user systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Single-carrier frequency-domain equalization for space-time-coded transmissions over broadband wireless channelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A transmit diversity scheme for channels with intersymbol interferencePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Complementary sequences for ISI channel estimationIEEE Transactions on Information Theory, 2001
- EDGE: enhanced data rates for GSM and TDMA/136 evolutionIEEE Wireless Communications, 1999
- Space-time codes for high data rate wireless communication: performance criterion and code constructionIEEE Transactions on Information Theory, 1998
- A simple transmit diversity technique for wireless communicationsIEEE Journal on Selected Areas in Communications, 1998