Title :
MIMO-OFDM Channel Estimation Using Improved LS Algorithm
Author :
Zamiri-Jafarian, H. ; Pasupathy, S.
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Toronto, ON
Abstract :
Channel estimation accuracy has a significant impact on the performance of multiple-input multiple-output (MIMO) wireless communication systems due to cochannel interferences in MIMO channels. An improved channel estimation algorithm is presented in this paper for MIMO systems using orthogonal frequency division multiplexing (OFDM) technique based on the least squares (LS) algorithm. The proposed algorithm employs the noise correlation in order to improve the LS estimator by estimating and suppressing the noise in signal subspace. Without knowledge of the statistical parameters of channel, the new proposed algorithm attains a significant improvement in performance in comparison with that of the regular LS estimator and is also robust to the number of antennas in transmit and receive sides.
Keywords :
MIMO communication; OFDM modulation; antenna arrays; channel estimation; cochannel interference; interference suppression; least mean squares methods; receiving antennas; statistical analysis; transmitting antennas; MIMO-OFDM channel estimation; cochannel interferences; least squares algorithm; multiple-input multiple-output systems; noise correlation; noise suppression; orthogonal frequency division multiplexing technique; receive antennas; signal subspace; statistical parameters; transmit antennas; wireless communication systems; Channel estimation; Interference; Iterative algorithms; Least squares approximation; MIMO; Noise robustness; OFDM; Receiving antennas; Transmitting antennas; Wireless communication;
Conference_Titel :
Vehicular Technology Conference, 2006. VTC-2006 Fall. 2006 IEEE 64th
Conference_Location :
Montreal, Que.
Print_ISBN :
1-4244-0062-7
Electronic_ISBN :
1-4244-0063-5
DOI :
10.1109/VTCF.2006.122
