Symbol detection based on subspace method for diversity system

Delay diversity is an effective transmit diversity technique to combat adverse effects of fading. Thus far, previous work in delay diversity assumed that perfect estimates of current channel fading conditions are available at the receiver. However, learning the fading coefficients becomes increasingly difficult as the number of transmitter antennas increase, especially for the frequency selective channels. Increasing the number of antennas increases the required training interval. In this paper, with the subspace method and the special structure of delay diversity, we propose the symbols detection method without the knowledge of channel. We address the symbol detection for a frequency selective channel from a single carrier perspective. With Monte Carlo simulations, we give the comparison of our algorithm with decision feedback equalization, which assumes that the channel information is known at the receiver.