FIR channel identification in multirate communication systems with a subspace method

The problem of blind channel identification for multirate, multiuser communication systems is addressed. By exploiting symbol rate differences, it is shown that users can be separated based on the autocorrelation of the received signal, thus reducing the problem to the familiar single rate setting. A subspace method is then developed to identify the channel associated with each user. Simulations are used to explore algorithm performance as a function of key factors such as signal-to-noise ratio (SNR) and signal-to-interference ratio (SIR)