Title :
A subspace method for blind channel identification in OFDM systems
Author :
Cai, Xiaodong ; Akansu, Ali N.
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
It has been shown that cyclostationarity in the received signal allows the receiver to blindly identify the channel impulse response using only second-order statistics. In orthogonal frequency-division multiplexing (OFDM) systems, cyclostationarity is embedded at the transmitter due to cyclic prefix. In this paper, a subspace approach based on second-order statistics is proposed for blind channel identification in OFDM systems. We derive a sufficient condition that guarantees all the channels to be identifiable no matter what their zero locations are. Computer simulations demonstrate the superior performance of the proposed algorithm over methods reported earlier in the literature
Keywords :
OFDM modulation; identification; statistical analysis; transient response; OFDM system; blind channel identification; channel impulse response; cyclic prefix; cyclostationarity; orthogonal frequency-division multiplexing; received signal; second-order statistics; subspace method; sufficient condition; Blind equalizers; Channel estimation; DSL; Frequency division multiplexing; Multimedia systems; OFDM; Radio transmitters; Signal processing; Statistics; Sufficient conditions;
Conference_Titel :
Communications, 2000. ICC 2000. 2000 IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-6283-7
DOI :
10.1109/ICC.2000.853634