Estimation-correlation-compensation signal detection in discrete time

The optimal discrete-time estimation-correlation-compensation (ECC) algorit hms are synthesized for detecting arbitrary stochastic signals in the prese nce of arbitrary correlated interferences and noise with independent values . It is shown that the ECC algorithms have a general form and are valid for the Gaussian and non-Gaussian noise statistic. Specific features of the sy nthesized algorithms and estimates that they use are discussed. The perform ance of the optimal and suboptimal ECC detectors that use filtering and the extrapolation signal and interference estimates are compared.