Parallel Genetic Algorithm based Adaptive Line Enhancement Schemes for Extraction of Power Frequency Signals

In this article, we propose two new adaptive line enhancement schemes for tracking the power frequency signal corrupted with broad-band noise. The first scheme named as Hybrid Parallel Genetic Algorithm Based Line Enhancer (HPGABLE) employs Parallel Genetic Algorithm (PGA) and Least Mean Square (LMS) Algorithm to obtain the optimal set of filter coefficients while the delay is selected on an ad hoc basis. In the second proposed Recursive Hybrid Parallel Genetic Algorithm Based Line Enhancer (RHPGABLE) scheme the delay as well as the filter coefficients are estimated recursively. In the recursion of the proposed RHPGABLE algorithm, Parallel Genetic Algorithm (PGA) based on coarse grained approach is employed for estimating the delay while the filter coefficients are estimated by PGA and LMS Algorithm. RHPGABLE is an unsupervised scheme in the sense that no a priori knowledge of delay, filter coefficients and the associated training signal component is assumed to be available. The proposed schemes could be ...