Title :
Semi-blind channel estimation for block precoded space-time OFDM transmissions
Author :
Zhou, Shengli ; Muquet, Bertrand ; Giannakis, Georgios B.
Author_Institution :
Dept. of ECE, Minnesota Univ., Minneapolis, MN, USA
fDate :
6/23/1905 12:00:00 AM
Abstract :
We develop a (semi-) blind channel estimation algorithm for space time (ST) block precoded OFDM transmissions over frequency-selective channels. We establish that multi-channel identifiability is guaranteed up to one or two scalar ambiguities, when distinct or identical precoders are employed for even and odd indexed symbol blocks. With known pilots inserted before precoding, we resolve the residual scalar ambiguities and show that distinct precoders require less pilots than identical precoders to achieve the same channel estimation accuracy. Simulation results confirm our theoretical analysis and illustrate that the proposed semi-blind algorithm is capable of tracking slow channel variations and improving the overall system performance relative to competing differential ST alternatives
Keywords :
OFDM modulation; block codes; channel coding; parameter estimation; space-time adaptive processing; time-varying channels; tracking filters; ST-OFDM; adaptive signal processing; block precoded transmissions; channel variation tracking; distinct precoders; frequency-selective channels; multi-channel identifiability; scalar ambiguities; semi-blind channel estimation; space time OFDM; space-time coding; symbol blocks; system performance; Analytical models; Blind equalizers; Channel estimation; Frequency estimation; OFDM; Receiving antennas; Signal processing algorithms; Space missions; Space technology; Transceivers;
Conference_Titel :
Statistical Signal Processing, 2001. Proceedings of the 11th IEEE Signal Processing Workshop on
Print_ISBN :
0-7803-7011-2
DOI :
10.1109/SSP.2001.955302