A MIMO-OFDM system for high-speed transmission

We propose new signal detection for space division multiplexing in a MIMO-OFDM system for high data rate transmission. Channel estimation is very important for suppressing the interference and demultiplexing the signals. In a wireless LAN system, such as IEEE 802.11a, only a few training symbols are inserted in each subcarrier. We propose a channel estimation method for the MIMO-OFDM system with two training symbols per subcarrier. The basic idea is to estimate the time-domain channel responses between the transmit and receive antennas. Applying the fast Fourier transform to them, the array response vectors for each subcarrier are calculated. Then, we can obtain the adaptive weights to cancel the interference. We show that employing training symbols having a lower condition number of a matrix used for the channel estimation improves the estimation accuracy.