Manufacturing training symbols from future bits

@article{Zhou2005ManufacturingTS,
  title={Manufacturing training symbols from future bits},
  author={Hao Zhou and O. Collins},
  journal={Proceedings. International Symposium on Information Theory, 2005. ISIT 2005.},
  year={2005},
  pages={373-377}
}
This paper presents a state generated training symbol (SGTS) algorithm as a novel channel estimation scheme for sequence detector under time-varying flat-fading channels. The key idea of SGTS is that data-aided unknown parameters estimation can be embedded into the Viterbi decoding structure. By using a systematic convolutional code, the SGTS scheme uses a `future' training sequence manufactured by the current decoding state to estimate the channel parameter. This is distinct from the… CONTINUE READING
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