Low-complexity iterative receivers with adaptive channel estimation algorithm over high frequency waveform channels
The, Kah Chan.
Li, Kwok Hung
Date of Issue2012
IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (23rd : 2012 : Sydney, Australia)
School of Electrical and Electronic Engineering
Iterative equalization techniques are effective in mitigating inter-symbol interference (ISI). In this paper, we first study and compare three low-complexity adaptive-channel-estimation-based turbo equalization (ACE-based TEQ) algorithms over high-frequency (HF) waveform channels based on the STANAG 4285 standard. These reduced-complexity equalization algorithms include the minimum mean-square error (MMSE), the MMSE decision feedback equalization (MMSE-DFE) and the soft feedback interference cancellation (SFIC). To address the issue of the HF channel time-variation, an explicit adaptive channel estimator is used to determine the unknown channel coefficients. In addition, we have also proposed a hybrid ACE TEQ algorithm. Numerical results show that the ACE-SFIC-based TEQ scheme is the best in terms of trade-off between bit-error rate (BER) and implementation complexity for the STANAG 4285 military waveforms.
DRNTU::Engineering::Electrical and electronic engineering