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
Keywords :
adaptive equalisers; adaptive estimation; blind equalisers; decision feedback equalisers; interference suppression; intersymbol interference; parameter estimation; radio links; time division multiple access; DFE; GSM; TDMA; bandwidth wastage; blind ISI mitigation; channel equalization; channel estimation; decision feedback; differential coding; input constellation; input correlation; intersymbol interference; oversampling; training sequence; Bandwidth; Blind equalizers; Channel estimation; Decision feedback equalizers; Delay effects; GSM; Intersymbol interference; Modeling; Pulse shaping methods; Robustness;
