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Figure 1 Layered MIMO receiver architecture adopting the proposed equalization (in each layer, an IC equalizer and a phase compensator perform interference cancelation and phase compensation separately).
When the delay spread of the channel is greater than 0.15×N/F e, performance is limited by the proposed equalization scheme rather than the channel estimation processing as the one-tap equalizer becomes inefficient.
The resulting algorithm is shown to be significantly superior over previously proposed equalization schemes and to perform in many cases close to an ML equalizer with perfect channel knowledge.
The resulting equalization algorithm is shown to be superior over previously proposed equalization schemes and to perform in many cases close to the maximum-likelihood equalizer with perfect channel knowledge.
Figure 2 The proposed equalization scheme.
Next, we present simulation results for our proposed equalization scheme.
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This is however not a concern, since the aim of the proposed equalizer is on equalization of signals in systems with extremely long memory.
Finally, certification of simulation is demonstrated to validate the proposed novel equalization scheme.
Finally, simulation results are provided to illustrate the effectiveness of the proposed blind equalization algorithm.
Several FIR and IIR filter design techniques have been proposed for equalization purposes.
According to the proposed solution, equalization is performed in the time domain.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com