Title :
Optimal pilot design for MIMO OFDM channel estimation
Author :
Geng, Xin ; Hu, Hanying ; Cui, Weijia ; Dun, Yanan
Author_Institution :
Dept. of Commun. Eng., Inf. Sci. & Technol. Inst., Zhengzhou, China
Abstract :
It is well known that the realization of enormous capacity of multiple-input multiple-output (MIMO) channels depends greatly on the accuracy of channel estimation at the receiver. And the problem of pilot or training design is crucial to channel estimation. In this paper, the optimal pilot sequences and the optimal length of pilot-OFDM symbols are discussed. The optimizing process of pilot design consists of two phases. First, by minimizing the channel estimation error, the initial optimal pilot sequences are designed to exploit full information of channel correlation under the criterion of Minimum Normalized Mean Square Error (MNMSE) of the frequency domain, and at the same time, the optimal length of pilot-OFDM symbols for various range of SNR is also concluded. Secondly, in view of restraining the peak-to-average energy ratio (PAR) of the pilot-OFDM signal, the final optimal pilot sequences are obtained by choosing a unit complex-value sequence with lower aperiodic autocorrelation and using the initial optimal pilot sequences. Simulations show that the channel correlation is helpful to decrease the MNMSE of channel estimation and the designed optimal pilot sequences present great superiority in PAR-constraining.
Keywords :
MIMO communication; OFDM modulation; channel estimation; receivers; MIMO OFDM channel estimation; MNMSE; PAR; SNR; aperiodic autocorrelation; channel correlation; complex-value sequence; minimum normalized mean square error; multiple-input multiple-output channels; optimal length; optimal pilot design; optimal pilot sequences; peak-to-average energy ratio; pilot-OFDM signal; pilot-OFDM symbols; receiver; Channel estimation; Correlation; MIMO; Peak to average power ratio; Signal to noise ratio; Training; MIMO-OFDM system; MNMSE; PAR; pilot sequences; spatial fading correlation;
Conference_Titel :
Signal Processing Systems (ICSPS), 2010 2nd International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-6892-8
Electronic_ISBN :
978-1-4244-6893-5
DOI :
10.1109/ICSPS.2010.5555454