Blind channel identification of dispersive CDMA channels

A new blind identification method based on signal subspace estimation is proposed. With the dispersive CDMA channel modeled as a multiple-input multiple-output signal model, the impulse response of the multiuser´s channels can be identified without training sequences. The method characterizes parallel processing and lower algorithmic complexity, hence it is suitable for high-rate CDMA communication system. The computational requirement of the algorithm is o(N/sup 2/), N being the size of the covariance matrix. The algorithm is locally convergent and the undesired stationary points are unstable. Monte-Carlo simulations demonstrate the performance of the proposed methods in a channel identification context.