TY - GEN
T1 - Transmit and receive space-time-frequency adaptive processing for cooperative distributed mimo communications
AU - Bliss, D. W.
AU - Kraut, S.
AU - Agaskar, A.
PY - 2012/10/23
Y1 - 2012/10/23
N2 - In this paper, the problem of informed-transmitter cooperative MIMO communications is addressed. The informed-transmitter link assumes that the distributed transmit nodes have access to channel state information. The channel state information includes the channel between the transmit and receive antenna arrays and a statistical model for interference impinging upon the receive array. In principle, the channel will have resolvable delay spread. In addition, because the distributed sets of nodes do not have a common local oscillator and move independently, the receiving set of nodes may observe resolvable independent frequency offsets and frequency spread from each of the transmit nodes. To compensate for this doubly dispersive channel, a space-time-frequency channel estimate is constructed. The frequency components of the channel estimate enable improved channel prediction capabilities. Space-time-frequency transmit adaptive processing approaches are developed. These techniques are demonstrated in simulation.
AB - In this paper, the problem of informed-transmitter cooperative MIMO communications is addressed. The informed-transmitter link assumes that the distributed transmit nodes have access to channel state information. The channel state information includes the channel between the transmit and receive antenna arrays and a statistical model for interference impinging upon the receive array. In principle, the channel will have resolvable delay spread. In addition, because the distributed sets of nodes do not have a common local oscillator and move independently, the receiving set of nodes may observe resolvable independent frequency offsets and frequency spread from each of the transmit nodes. To compensate for this doubly dispersive channel, a space-time-frequency channel estimate is constructed. The frequency components of the channel estimate enable improved channel prediction capabilities. Space-time-frequency transmit adaptive processing approaches are developed. These techniques are demonstrated in simulation.
UR - http://www.scopus.com/inward/record.url?scp=84867598387&partnerID=8YFLogxK
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U2 - 10.1109/ICASSP.2012.6289097
DO - 10.1109/ICASSP.2012.6289097
M3 - Conference contribution
AN - SCOPUS:84867598387
SN - 9781467300469
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 5221
EP - 5224
BT - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Proceedings
T2 - 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
Y2 - 25 March 2012 through 30 March 2012
ER -