Blind ISI mitigation

Abstract

In an outdoor communication environment, a percentage of bandwidth is wasted sending a training sequence for channel estimation and equalization. For instance in GSM, 17.93% of bandwidth is dedicated to the transmission of such a known sequence. Therefore, if a blind algorithm, using only the knowledge of input constellation and/or correlation, can achieve an acceptable performance, it will save bandwidth considerably. If the receiver does not have this information, blind adaptation would not be feasible with reasonable complexity. We present a robust blind adaptation structure for TDMA-based communication systems. Also, we include implementation issues such as differential coding and oversampling in our system modeling.