ESTIMATING PARAMETERS OF MULTIPLE DAMPED COMPLEX SINUSOIDS WITH MODEL ORDER ESTIMATION

The estimation of the parameters of damped complex sinusoids is a classic research problem that has been studied extensively. State-of-art high resolution estimators for this problem suffer from certain drawbacks including high computational complexity and the necessity of model order information. In this work, we develop an efficient estimation algorithm to overcome these issues. Specifically, we combine the recently proposed Multi-tone Iterative Windowed A&M (MIWAM) algorithm, a high performance method capable of estimating the frequencies and complex amplitudes of multiple complex sinusoids in white Gaussian noise, with a model order estimation strategy that is based on information theory criteria. We demonstrate through extensive simulations that the novel method achieves more reliable performance while requiring less computations than high resolution algorithms.