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Agilent 89600 vector signal analysis software

Posted: 16 Sep 2008     Print Version  Bookmark and Share

Keywords:Adaptive equalisation  linear errors  non-linear errors  equalisers 

Adaptive equalisation is an important tool for today's receivers. It is required by standards such as IEEE 802.16e (Mobile WiMAX). Adaptive equalisation is also useful for analysing signals as it allows you to remove propagation effects from measurements and separates linear errors from non-linear errors. Determining whether your errors are linear or non-linear can provide useful troubleshooting information in and of itself. Adaptive equalisation is a useful tool for identifying linear errors.

The most common types of equalisers are feed-forward and decision feedback. Feed-forward equalisation uses an equalisation filter, before applying any other static measurement filters that are in place. The signal is then demodulated and measured. After measurement, the equalisation filter is modified to adjust for additional changes.

In decision feedback equalisation, the static measurement filters are applied first, then combined with the output of the previous cycle. In this method, the modulator will ideally output a noise-free signal, so that the equalisation process itself does not add any additional noise to the signal.

View the PDF document for more information.





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