Fast neural networks digital beamformer based on slow genetic algorithm solutions
In this thesis, digital beamforming (DBF) based on genetic algorithms and neural networks is studied. Digital beamforming is a flexible spatial filter processing that operates on the digitized outputs of an antenna array to enhance the ratio of signal level to environment noise and directional inter...
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| Format: | Theses and Dissertations |
| Published: |
2008
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| Online Access: | http://hdl.handle.net/10356/3699 |
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| Institution: | Nanyang Technological University |
| Summary: | In this thesis, digital beamforming (DBF) based on genetic algorithms and neural networks is studied. Digital beamforming is a flexible spatial filter processing that operates on the digitized outputs of an antenna array to enhance the ratio of signal level to environment noise and directional interference. DBF is an emerging technology that offers a number of attractive features beyond the capabilities of conventional arrays. |
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