Insertion Loss Estimation of EMI Filters in Unmatched Input/Output Impedance System

One of the problems in the design of powerline EMI filters is the uncertainty and ambiguity of their source/load impedances which results in breach of expected filter parameters in a real installation. The paper presents a simple technique for prediction of insertion loss limit values of EMI filters working in arbitrary unmatched mains line impedance systems

Comparison of Pilot Symbol Embedded Channel Estimation Algorithms

In the paper, algorithms of the pilot symbol embedded channel estimation are compared. Attention is turned to the Least Square (LS) channel estimation and the Sliding Correlator (SC) algorithm. Both algorithms are implemented in Matlab to estimate the Channel Impulse Response (CIR) of a channel exhibiting multi-path propagation. Algorithms are compared from the viewpoint of computational demands, influence of the Additive White Gaussian Noise (AWGN), an embedded pilot symbol and a computed CIR over the estimation error

The choice of suitable fitness function for optimization spurious elements of EMI filters

In Introduction are introduced main problems of measurement of EMI filter and is suggested that creation of model of EMI filter is useful. In this paper is shown model of EMI filter which is based on basic circuitry of the EMI filter. Reduced equivalent circuitries for EMI filter and his creation are also shown, because these circuitries are more suitable for usage in iteration optimization loop. The spurious elements of filter are searched with optimization. Participial swarm optimization is used. Two possibilities of fitness function calculations are shown, too. Results of both approaches are compared in this paper. Using fitness function with weight coefficients gives better results and this fitness function is used for optimization of the measured characteristics