An Improved ESPRIT Algorithm without Eigenvalues Decomposition
Xin Xu · Signal Processing · 2008
Multi-stage Wiener filter is a reduced-rand algorithm.In this Paper,the pretreatment model is presented,thus the multi-stage Wiener filter can be used in ESPRIT algorithm.A method to construct the pretreatment filter is brought up.The suitable con- figuration of multi-stage Wiener filter for ESPRIT is proposed.The new method has no need of the eigenvalues decomposition of the auto- correlation of the sample data,thus can have less computational cost.The new method can apply to a lot of subspace methods.Simulation results demonstrate the effectiveness of the method.