Adaptive spectral doppler estimation based on RLS algorithm

Abstract

In this paper, an adaptive spectral doppler estimation based on recursive least squares (RLS) algorithm is proposed for blood velocity distribution estimation. The purpose is to (i) minimize the observation window needed to estimate the spectral distribution and get better temporal resolution, (ii) adaptive estimate the spectral distribution using the current data. An optimization problem is built and solved by matrix gradient method and Matrix Inversion Lemma to get the optimal weighting coefficients and adaptive realization. Simulation results illustrate that the proposed scheme can significantly realize the purpose.