Adaptive Filtering of Non-Gaussian Flicker Noise

The article deals with ultra-low-power signals and methods of its receiving and processing in the information transmission systems applied to the systems of the Internet of things (IoT). High requirements for energy efficiency in IoT systems and a low information transmission rate leads to implementation of ultra-narrow band signals, which may be affected by ultra-low frequency noise, for example, flicker noise. To increase the noise immunity, stochastic differential equations with a nonlinear drift coefficient are used for non-Gaussian flicker noise models. A priori uncertainty is eliminated by adaptive tuning of the parameters of the flicker noise filtering algorithm. To analyze the effectiveness using experimental data, the optimal signal processing algorithm is used based on the estimation-correlation-compensation approach.