| Paper: | SPTM-P13.12 | ||
| Session: | Detection and Classification | ||
| Time: | Friday, May 21, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Signal Processing Theory and Methods: Detection, Estimation, and Class. Thry & Apps. | ||
| Title: | SIGNAL DETECTION AND ESTIMATION USING ATOMIC DECOMPOSITION AND INFORMATION-THEORETIC CRITERIA | ||
| Authors: | Gustavo López-Risueño; Universidad Politécnica de Madrid | ||
| Jesús Grajal; Universidad Politécnica de Madrid | |||
| Omar A. Yeste-Ojeda; Universidad Politécnica de Madrid | |||
| Abstract: | An algorithm to detect and estimate a linear mixture of signals corrupted by white Gaussian noise is presented. The number of signals is assumed to be unknown. It is based on a type of information theoretic criterion able to adjust the probability of false alarm, and uses atomic decomposition refined by the expectation maximization method to efficiently compute the maximum likelihood estimate of the signal parameters. Signals are modeled as chirplets. Algorithm consistency and efficiency are shown by simulation. | ||
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