Title :
A statistical subspace method for blind channel identification in OFDM communications
Author :
Zhuang, Xiangyang ; Ding, Zhi ; Swindlehurtst, A.L.
Author_Institution :
Dept. of Electr. & Comput. Eng., Brigham Young Univ., Provo, UT, USA
Abstract :
This paper presents a subspace method for blind channel estimation based on A a special output correlation matrix. The approach relies on the i.i.d. assumption of the data sequence and uses the cyclic prefix redundancy present in OFDM systems or single-carrier systems with frequency domain equalization. This method has an important feature that allows channels to be longer than the cyclic prefix. In addition, unknown frame synchronization can be accommodated. There is no constraint on the zero locations of the channel and the performance is asymptotically independent of white noise. The method is compared with a simple correlation approach and a deterministic subspace method
Keywords :
OFDM modulation; correlation methods; equalisers; frequency-domain analysis; identification; matrix algebra; statistical analysis; synchronisation; telecommunication channels; OFDM communications; OFDM systems; blind channel identification; channel zero locations; correlation approach; cyclic prefix redundancy; deterministic subspace method; frame synchronization; frequency domain equalization; i.i.d. data sequence; output correlation matrix; performance; single-carrier systems; statistical subspace method; subspace method; white noise; Channel estimation; Cities and towns; Deconvolution; Demodulation; Dispersion; Frequency domain analysis; Frequency synchronization; OFDM; Transmitters; White noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.860945
