Iterative (turbo) joint channel estimation and signal detection for Quadrature OFDMA systems

@article{Luo2008IterativeJ,
  title={Iterative (turbo) joint channel estimation and signal detection for Quadrature OFDMA systems},
  author={Lin Luo and Jian Zhang and Zhenning Shi},
  journal={2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications},
  year={2008},
  pages={1-5}
}
Quadrature OFDMA (Q-OFDMA) systems have been recently proposed to reduce the complexity and peak-to-average power ratio (PAPR), and improve carrier frequency offset (CFO) robustness for OFDMA systems. However, Q-OFDMA receiver obtains frequency diversity at the cost of noise enhancement. This paper proposes an iterative (turbo) equalization in conjunction with channel estimation for Q-OFDMA systems to mitigate the noise enhancement effect and improve the BER performance. In the proposed scheme… CONTINUE READING