An Embedded Inter-harmonics Estimation Algorithm Based on Special Approximate ARMA Model

A self-adapting iterative algorithm for embedded inter-harmonics detecting applications was proposed in this paper. The proposed algorithm constructed a Toeplitz matrix with observed data, and utilized preconditioning conjugate gradient method to solve optimized Yule-Walker equations based on the particularity of special approximate ARMA model. Hereby, the approximate values of AR parameters can be got by a self-adapting iterative process. A lot of simulations in different situations show the proposed algorithm is robust, high-performance and has limited time complexity. The simulations also give evidence of that the algorithm is highly suitable for embedded applications.