Title :
Joint Channel Tracking and MAP Detection for OFDMA Systems in Fading Channels
Author :
Sau-Hsuan Wu ; Shuenn Gi Lee ; Kuei-Chiang Lai
Author_Institution :
Dept. of Commun. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
Abstract :
In this research, we present a joint channel tracking and maximal a posteriori (MAP) symbol detection method for orthogonal frequency division multiple access (OFDMA) systems in time-varying fading channels. In contrast to some existing joint estimation and detection schemes that perform channel tracking in time-domain, we propose an algorithm that do both channel tracking and symbol detection in frequency domain, thus preventing the performance degradation due to the multiple access interference present in the time domain channel estimation. In conjunction with appropriate frequency allocation for each user, it is shown that a low-complexity algorithm can be obtained and, in the mean time, provides good performance in channel tracking.
Keywords :
fading channels; frequency allocation; frequency division multiple access; maximum likelihood detection; maximum likelihood estimation; radiofrequency interference; time-varying channels; MAP detection; OFDMA systems; channel tracking; frequency allocation; maximal a posteriori symbol detection; multiple access interference; orthogonal frequency division multiple access; time domain channel estimation; time-varying fading channels; Channel estimation; Degradation; Fading; Frequency conversion; Frequency domain analysis; Frequency estimation; Multiple access interference; Radio spectrum management; Time domain analysis; Time varying systems; EM; Joint estimation and detection; MAP; OFDM; OFDMA;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.366532