| Paper: | SPTM-P13.8 | ||
| Session: | Detection, Estimation, Classification Theory and Applications | ||
| Time: | Friday, May 19, 14:00 - 16:00 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Detection, Estimation, Classification Theory and Applications | ||
| Title: | A DIRECT METHOD TO GENERATE APPROXIMATIONS OF THE BARANKIN BOUND | ||
| Authors: | Angela Quinlan, Trinity College Dublin, Ireland; Eric Chaumette, Thales Naval France, France; Pascal Larzabal, SATIE, France | ||
| Abstract: | The search for an easily computable but tight approximation of the Barankin Bound (BB) is important for the prediction of the Signal-to-Noise Ratio (SNR) value where the Cramer-Rao bound (CRB) becomes unreliable for prediction of Maximum Likelihood Estimators (MLE) variance. In this paper we propose a method for the derivation of a general class of BB approximations which has the advantage of a clear interpretation. This method suggests a new practical BB approximation, whose computational complexity does not exceed that of the CRB but which seems tighter than existing approximations. | ||
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