Title :
PAR-Constrained Training Signal Designs for MIMO OFDM Channel Estimation in the Presence of Frequency Offsets
Author :
Minn, Hlaing ; Li, Yinghui ; Al-Dhahir, Naofal
Author_Institution :
Dept. of Electr. Eng., Univ. of Texas at Dallas, Dallas, TX
fDate :
8/1/2008 12:00:00 AM
Abstract :
Training signals for OFDM channel estimation should possess low PAR to avoid nonlinear distortions at the transmit amplifier and at the same time they should be robust against frequency offsets. In this letter, we show that the above two requirements of the training signals are conflicting. We propose two new training signal designs for MIMO OFDM frequency-selective channel estimation. Our proposed training signals achieve more robust channel estimation performance against frequency offsets while satisfying the PAR constraints compared to training signals designed to achieve a fixed low PAR but without any consideration for robustness to frequency offsets.
Keywords :
MIMO communication; OFDM modulation; channel estimation; MIMO OFDM channel estimation; frequency offsets; frequency-selective channel estimation; peak-to-average energy ration; training signal design; Channel estimation; Design optimization; Frequency estimation; MIMO; Nonlinear distortion; OFDM; Peak to average power ratio; Power amplifiers; Robustness; Signal design; Channel estimation; MIMO; OFDM; PAR; frequency offsets; pilot design; training signal design;
Journal_Title :
Wireless Communications, IEEE Transactions on
DOI :
10.1109/TWC.2008.070223