Title :
Superimposed Training for Estimating of Doubly-Selective OFDM Channels
Author :
Yang, Qinghai ; Kwak, Kyung Sup
Author_Institution :
Graduate Sch. of Inf. Technol. & Telecommun., Inha Univ., Inchon
Abstract :
This paper addresses a time-domain superimposed training scheme for estimating time and frequency-selective (doubly-selective) fading channels in orthogonal frequency division multiplexing (OFDM) systems. We first develop a linear least square channel estimator, and meanwhile derive the optimal superimposed symbols with respect to the channel estimates´ mean square error. Next, a low-rank approximated channel estimator is developed by using the singular value decomposition (SVD). Simulation demonstrates our design.
Keywords :
OFDM modulation; channel estimation; fading channels; least squares approximations; mean square error methods; singular value decomposition; time-domain analysis; doubly-selective OFDM channel estimation; frequency-selective fading channels; linear least square channel estimator; low-rank approximated channel estimator; mean square error; orthogonal frequency division multiplexing; singular value decomposition; time-domain superimposed training scheme; Bandwidth; Channel estimation; Fading; Frequency estimation; Information technology; Least squares approximation; OFDM; Peak to average power ratio; Recursive estimation; Time domain analysis; OFDM; SVD; Superimposed Training; channel estimate; doubly-selectively fading;
Conference_Titel :
Advanced Communication Technology, The 9th International Conference on
Conference_Location :
Gangwon-Do
Print_ISBN :
978-89-5519-131-8
DOI :
10.1109/ICACT.2007.358687
