Your English writing platform
Discover LudwigExact(1)
It is seen from Figure 6 that due to the precondition that BEM based channel estimation is better than LS based channel estimation in time-varying channels, the estimation accuracy of the proposed WF-BEM is better than WF-LS.
Similar(59)
Based on the analysis, we propose to combine WF with basis expansion model (BEM) based channel estimation to deal with channel estimation in various mobile environments, especially in high-speed cases.
The multi-cell massive MIMO system model is presented in Section 2. The BSC-based and the MT-BSC based channel estimation details are reviewed in Sections 3 and 4, respectively.
Combining BEM based channel estimation with WF, in this article we derive the expression for Wiener filter combined BEM based channel estimation (hereafter called WF-BEM), which explicitly considers the effect of ICI.
Step (6) Multiply the estimate of BEM based channel estimation P ^ k BEM obtained in Step (2) by the interpolation vector of WF-BEM C ^ d, k WF-BEM obtained in Step (5).
Besides BEM based channel estimation can more accurately estimate fast time-varying channels than LS based channel estimation does, another reason that a channel estimator with higher accuracy results in improved performance in time-varying channels is illustrated as follows.
In light of the above analysis and considering that BEM based channel estimation method [13, 14] can accurately estimate the time-varying channel coefficients of an OFDM symbol, we propose to combine BEM based channel estimation with WF to deal with channel estimation in time-varying channels.
The PN sequence based channel estimation for optical communications has been initially introduced in [19].
In this article, we first thoroughly analyze Wiener filter combined least squares based channel estimation (WF-LS) and then illustrate its limitation in high-speed mobile environments.
This is also the main reason for our motivation to combine BEM based channel estimation with WF and derive the expression for WF-BEM based channel estimation to deal with channel estimation in time-varying channels.
The estimation accuracy of BEM based channel estimation is much better than that of LS based channel estimation especially in high-speed mobile environment, as can be seen from Figure 5.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com