Robust Maximum Likelihood Classification of Quadrature Amplitude Modulation

@article{Shi2010RobustML,
  title={Robust Maximum Likelihood Classification of Quadrature Amplitude Modulation},
  author={Qinghua Shi and Yoshio Karasawa},
  journal={2010 IEEE Wireless Communication and Networking Conference},
  year={2010},
  pages={1-5}
}
This paper is concerned with amplitude-based maximum likelihood classification for quadrature amplitude modulation formats in the presence of frequency offset. We first propose a simplified classification algorithm that incurs a small loss in performance. A general performance analysis is then elaborated, which can achieve a higher computational efficiency, compared with the existing one. By integrating blind time synchronization and signal-to-noise (SNR) estimation, we further develop a robust… CONTINUE READING

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