Title :
ML symbol synchronization for OFDM-based WLANs in unknown frequency-selective fading channels
Author :
Wu, Yik-Chung ; Yip, Kun-wah ; Ng, Tung-Sang ; Serpedin, Erchin
Author_Institution :
Dept. of Electr. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
Based on the maximum-likelihood principle and the preamble structure of IEEE 802.11a WLAN standard, this paper proposes a new symbol synchronization algorithm for IEEE 802.11a WLANs over frequency-selective fading channels. In addition to the physical channel, the effects of filtering and unknown sampling phase offset are also considered. Loss in system performance due to synchronization error is used as a performance criterion. Computer simulations show that the proposed algorithm has comparable performances to the algorithm based on the generalized Akaike information criterion (GAIC), but the proposed algorithm exhibits reduced complexity.
Keywords :
IEEE standards; OFDM modulation; fading channels; filtering theory; maximum likelihood estimation; signal sampling; synchronisation; telecommunication standards; wireless LAN; GAIC; IEEE 802.11a WLAN standard; OFDM; filtering; frequency-selective fading channel; generalized Akaike information criterion; maximum-likelihood principle; orthogonal frequency division multiplexing; physical channel; symbol synchronization algorithm; unknown sampling phase; wireless local area network; Filtering; Frequency synchronization; Frequency-selective fading channels; Intersymbol interference; OFDM; Performance loss; Sampling methods; System performance; Timing; Wireless LAN;
Conference_Titel :
Signals, Systems and Computers, 2004. Conference Record of the Thirty-Eighth Asilomar Conference on
Print_ISBN :
0-7803-8622-1
DOI :
10.1109/ACSSC.2004.1399149
