Research of signal frequency estimation algorithm based on the multi-stage wiener filter

To consider the problem of signal frequency estimation in electronic countermeasures,a signal frequency estimation algorithm based on the Multi-stage Wiener filter(MSWF) is presented.The method can get signal subspace and noise subspace quickly by using multi-decomposition of the forward recursions of the Multi-stage Wiener filter,which does not require the formation of the covariance matrix and its eigendecomposition,thereby it got over the disadvantage of higher computational complexity in the subspace decomposition of the classic MUSIC algorithm.At the same time,it solved the problem of detecting the numbers of signal sources by minimum description length(MDL) principle.Simulation results that illustrate the method can reduce the computational complexity effectively and get high frequency estimation accuracy.