Spectrum Estimation of Narrow Band Signals Using a Small Sample
Li Tao · Journal of Naval Aeronautical and Astronautical University · 2009
Combined with the spatial spectrum estimation algorithm of uniform linear array,a new algorithm was proposed to estimate the spectrum of narrow band stationary random signals using a small sample,which reconstructed a Toeplitz matrix using the sample data at first,and then signal subspace and noise subspace could be acquired by performing eigenvalue decomposition of the matrix.Combined with the subspace kind algorithms such as MUSIC and ESPRIT,the spectrum of signals with a small sample could be estimated.Simulation results verify that the proposed algorithm is effective.