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BLIND MAXIMUM-LIKELIHOOD DATA RECOVERY IN OFDM Tareq Y. Al-Naffouri and Ahmed Abdul Quadeer
 

Summary: BLIND MAXIMUM-LIKELIHOOD DATA RECOVERY IN OFDM
Tareq Y. Al-Naffouri and Ahmed Abdul Quadeer
Electrical Engineering Dept., King Fahd University of Petroleum and Minerals, Saudi Arabia
ABSTRACT
OFDM modulation combines the advantages of high achiev-
able rates and relatively easy implementation. In this paper,
we show how to perform blind maximum-likelihood data re-
covery in OFDM transmission from the output symbol and
cyclic pre x. Our approach relies on decomposing the OFDM
channel into two subchannels (cyclic and linear) that share the
same input and are characterized by the same channel para-
meters. This fact enables us to estimate the channel parame-
ters from one subchannel and substitute the estimate into the
other, thus obtaining a nonlinear relationship involving the
input and output data only. The relationship does not show
any channel dependence whatsoever and can be exhaustively
searched for the maximum likelihood estimate of the input.
This shows that OFDM systems are completely identi able
using output data only, irrespective of the channel zeros, as
long as the channel delay spread is less than the length of the

  

Source: Al-Naffouri, Tareq Y. - Electrical Engineering Department, King Fahd University of Petroleum and Minerals

 

Collections: Engineering