Abstract
Source localization using passive sensor arrays has been an active research problem for many years. In this work, the Expectation-Maximization (EM) algorithm is investigated. EM algorithm is a well known recursive method for locating modes of a likelihood function which is characterized by simple implementation and stability. The algorithm is developed for the case of stationary Gauss signals. The application of the algorithm to the multiple source localization estimation problems is considered.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the International Symposium on Test and Measurement |
| Pages | 4981-4984 |
| Number of pages | 4 |
| Publication status | Published - 2003 |
Publication series
| Name | Proceedings of the International Symposium on Test and Measurement |
|---|---|
| Volume | 6 |
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Ji, C., Li, P., & Liu, S. (2003). Maximum-likelihood Parameter Based on EM Algorithm for Passive Source Localization Estimation. In Proceedings of the International Symposium on Test and Measurement (pp. 4981-4984). (Proceedings of the International Symposium on Test and Measurement; Vol. 6).