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Figure 9 shows the BER performance of a conventional noniterative receiver, that is, one time equalization and channel decoding for three different values of SNR and different length of feedback filter.
In OFDM, as long as the channel delay spread and the possible synchronization errors remain within the cyclic prefix time, equalization can simply be done with a complex coefficient multiplication at subcarrier level.
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As a result, the combined convergence time needed for channel identification and PE minimization still remains smaller than the convergence time of traditional adaptive algorithms, yielding real-time equalization.
Hereafter, the proposed method is designated as the time domain equalization (TDE) in which the equalization processing for the mitigation of ICI is conducted in the time domain.
Time domain equalization is a simple single tap or multi-tap filter.
There are two major operations involved in time domain equalization detailed in Section 3 above.
This paper proposed the time domain equalization (TDE) method for the TS-OFDM signal in higher time-varying fading channels.
Secondly, this paper proposes a time domain equalization (TDE) method which can achieve better bit error rate (BER) performance with keeping lower computation complexity even in higher time-varying fading channels.
The multiplication of [ A m (n 3,n)]−1 and [ b(m,n 3)] matrixes which corresponds to the time domain equalization to obtain the time domain signal ([!hat {x}(m,n)]) in (23) requires the complexity O[ N 2].
Therefore, deriving bound on BER for fast minimization with respect to the equalizer coefficients can still yield powerful and real-time channel equalization.
This paves the way towards real-time channel equalization.
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