Title
Hybrid transmit waveform design based on beam-forming and orthogonal space-time block coding.
Abstract
In this paper, we derivea hybridof Beam-Forming(BF) and Space-Time Block Coding (STBC), where the space-time code is transmitted over the beams generatedby the steering vectors corresponding to the channel path directions. This is for the practical case where the transmit array may have adequate information on the departure angles of the domi- nant paths between transmitter and receiver, but unreliable information on the associated complex path gains. We com- pute analytically the Signal-to-Noise Ratio (SNR) of the proposed hybrid for the specific case of a two-path channel model and using the orthogonal Alamouti code, and com- pare the result to the SNR of optimalLinear Precoding(LP) and the theoretically possible SNR of Orthogonal STBC (OSTBC). Simulation results show that the performance of the BF/STBC hybrid can be very close to LP—under cer- tain conditions—or even better in the practical case where there are phase estimation errors in the path gain estimates employed at the transmitter.
Year
DOI
Venue
2005
10.1109/ICASSP.2005.1416448
International Conference on Acoustics, Speech, and Signal Processing
Keywords
Field
DocType
array signal processing,block codes,diversity reception,fading channels,linear codes,phase estimation,radio receivers,radio transmitters,space-time codes,SNR,beamforming,channel path directions,complex path gains,fading,hybrid transmit waveform design,linear precoding,orthogonal STBC,orthogonal space-time block coding,phase estimation errors,signal-to-noise ratio,space-time code,transmit antenna diversity,transmit array,transmit diversity,transmitter-receiver dominant path departure angle
Space–time code,Beamforming,Mathematical optimization,Computer science,Fading,Block code,Signal-to-noise ratio,Algorithm,Real-time computing,Space–time block code,Precoding,Transmit diversity
Conference
Volume
ISSN
Citations 
5
1520-6149
4
PageRank 
References 
Authors
0.48
10
6
Name
Order
Citations
PageRank
Guido Dietl112715.21
JianQi Wang214221.21
Peilu Ding31178.26
Michael D. Zoltowski453457.84
David J. Love52424157.01
Wolfgang Utschick61755176.66