Blind single channel identification based on signal intermittency and second-order statistics

For intermittent channel output signal, namely, the active periods followed by nonactive periods alternatively, the blind single-input single-output (SISO) system identification problem can be transformed into a blind multichannel identification problem. It is possible and feasible to blindly identify the channel using only second-order statistics from the channel output signal. A two-stage approach is proposed in this paper. At the first stage, two or more segments of channel input signal are estimated from the single channel observation; at the second stage, the channel impulse response is identified by exploiting the estimated channel input signal segments and their corresponding channel output signal segments. Simulations show that the proposed approach works well.