Identification of Class a Noise Parameters via Least Square Gradient Method

The Middleton class A interference model is a statistical-physical and parametric model for man-made and natural electromagnetic (EM) interference. In this paper, the efficient estimation of the Class A model parameters based on least square gradient method is derived. The considered estimator converges fast and low-complexity with performance approaching theoretical optima for large data samples. Simulation of this estimator with three unknown parameters indicates that this technique is efficient.