Abstract
We propose an order selecting maximum likelihood algorithm for superimposed undamped exponentials in noise. The algorithm combines the robustness of Fourier-based estimators and the highresolution capabilites of parametric methods. In addition, we demonstrate the efficacy of estimated CRB in enhancing both estimation of the model parameters and detection of the model order. Simulations using simulated data and synthetic radar data demonstrate improved performance over MDL, MAP, and AIC in cases of practical interest.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2073 |
| Number of pages | 1 |
| Journal | IEEE Transactions on Signal Processing |
| Volume | 46 |
| Issue number | 7 |
| State | Published - 1998 |
ASJC Scopus subject areas
- Signal Processing
- Electrical and Electronic Engineering