Efficient Semi-Blind Channel Estimators for SIMO Systems Suffering from Broadband RFI

The effect of broadband radio frequency interference(RFI) is often overlooked in the terrestrial communication literature. However, such an RFI can render very poor equalization for a reception over a frequency selective channel by making the channel estimator perform the worst. Accordingly, the paper firstly proposes an efficient matrix-based semi-blind channel estimator (MB-SCE) for single-input multiple-output(SIMO) systems suffering from severe broadband RFI. Secondly, more complex yet more performant tensor-based semi-blind channel estimator (TB-SCE) is proposed while showcasing a trade-off between performance and complexity. The paper then compares MB-SCE and TB-SCE with the existing matrix-based blind channel estimator (MB-BCE) and tensor-based blind channel estimator (TB-BCE), respectively, that ignore RFI. Eventually, Matlab Monte-Carlo simulations have corroborated that MBSCE and TB-SCE outperform MB-BCE and TB-BCE, respectively. In addition, TB-SCE outperforms MB-SCE especially for a short observation interval.