Malleable hyperbolic cosine weighting function for side lobe suppression in medical image beamforming
| Autor: | Jonathan Bagby, Sajjad Abazari Aghdam, Raul J. Pla |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Beamforming
Hyperbolic function 020206 networking & telecommunications 02 engineering and technology Function (mathematics) Microstrip Image (mathematics) Weighting Antenna array Side lobe Control theory 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Algorithm Mathematics |
| Zdroj: | 2016 IEEE International Symposium on Phased Array Systems and Technology (PAST). |
| DOI: | 10.1109/array.2016.7832560 |
| Popis: | In this paper a modified class of malleable hyperbolic cosine weighting function is proposed based on decreasing the sidelobes by defining a nonconvex problem. This weighting function is improved the Kaiser weighting function, however it has a lower sidelobe and has equiripple form by determined level. Undesired sidelobes suppression (SLS) by presenting a parameter for increasing free degree. The optimized SLS will be compared by equal mainlobes. Then, a rectangular antenna array is designed for implemented confirmation. Simulation results besides the implemented tests display that this weighting function makes better SLS than other weighting functions for the equal weighting function normalized mainlobe width and length. |
| Databáze: | OpenAIRE |
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