Department of Electrical Engineering,Sharif University of Technology
In this paper, the detection of a coded signal in additive white Gaussian noise and the interference
is studied, where there is no knowledge about the correlation between the received symbols and
about the noise and interference parameters. The Maximum Likelihood (ML) estimates of the
unknown parameters are found, they are substituted in the probability density functions of the
observation and the Generalized Likelihood Ratio (GLR) detector is derived. This detector can
also be used for the activity detection of a signal in unknown Inter-Symbol Interference (ISI). In
this case, the interference is modeled as the unknown correlation between the received symbols.
Simulation examples are performed to evaluate the performance of the proposed detector.