| Autor: |
Sharp, M., Pekala, M., Nanzer, J., Wang, I-J., Lucarelli, D., Lauritzen, K. |
| Zdroj: |
2012 IEEE 7th Sensor Array & Multichannel Signal Processing Workshop (SAM); 1/ 1/2012, p337-340, 4p |
| Abstrakt: |
Beamformers are spatial filters that focus energy in a particular direction while attempting to eliminate interference from other directions. This paper compares several adaptive approaches that seek to provide detection performance equivalent to classical techniques while using fewer beams, a form of measurement compression. Using an apriori distribution on the source locations together with an initial set of beams as a starting point, these algorithms adaptively form a sequence of beams based on posterior distributions of the source locations. Two methods are considered: one attempts to maximize the trace of the Fisher information and the other maximizes mutual information based on a Gaussian posterior approximation. [ABSTRACT FROM PUBLISHER] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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