Blind equalization is a digital signal processing technique in which the transmitted signal is inferred (equalized) from the received signal, while making use only of the transmitted signal statistics. Hence, the use of the word blind in the name.
Blind equalization is essentially blind deconvolution applied to digital communications. Nonetheless, the emphasis in blind equalization is on online estimation of the equalizer filter, which is the inverse of the channel impulse response, rather than the estimation of the channel impulse response itself. This is due to blind deconvolution common mode of usage in digital communications systems, as a mean to extract the continuously transmitted signal from the received signal, with the channel impulse response being of secondary intrinsic importance.
The estimated equalizer is then convolved with the received signal to yield an estimation of the transmitted signal.
Read more about Blind Equalization: Algorithms
Famous quotes containing the word blind:
“For my own part, I commonly attend more to nature than to man, but any affecting human event may blind our eyes to natural objects. I was so absorbed in him as to be surprised whenever I detected the routine of the natural world surviving still, or met persons going about their affairs indifferent.”
—Henry David Thoreau (1817–1862)