Efficient Nonlinear Detector of Binary Signals in Rayleigh Fading and Impulsive Interference
The Middleton Class-A (MCA) model is one of the most widely applied models for narrow-band impulsive interference superimposed to Additive White Gaussian Noise (AWGN). The MCA noise process consists of an infinite number of Gaussian-distributed noise states with different variances. As a result, the optimum detector has irreducible form. Here, the authors' analysis is based on a two-state model, where they further approximate it to a single noise state. Therefore, a log-function reduces the Likelihood Ratio Test (LRT) to a closed-form expression. Since the low-pass equivalent of the noise process can be expressed by In-phase and Quadrature (IQ) components.