Two-normalized least mean square using in adaptive array beamforming in medical imaging
| Autor: | Sajjad Abazari Aghdam, Jonathan Bagby, Raul J. Pla |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Beamforming
030232 urology & nephrology 020206 networking & telecommunications 02 engineering and technology Interference (wave propagation) Least mean squares filter 03 medical and health sciences Noise Superposition principle symbols.namesake 0302 clinical medicine Additive white Gaussian noise Control theory 0202 electrical engineering electronic engineering information engineering symbols Antenna (radio) Adaptive beamformer Mathematics |
| Zdroj: | 2016 IEEE International Symposium on Phased Array Systems and Technology (PAST). |
| DOI: | 10.1109/array.2016.7832561 |
| Popis: | In this article new Beamforming technique is suggested for array antenna. This technique controls electrically the beam-pattern which reduced the noise, position of the pattern, and signal superposition. The proposed two-NLMS algorithm is utilized to decline the unwelcome interference. The first NLMS has a large step size and the other one small. The combinations of two outputs are related with a mixing parameter. This algorithm can control the suitable initial convergence and a minor steady state error adaptation. The weights are adjusted that the ending weight vector to the most contented result. This beamformer is compared with LMS, NLMS methods, it is achieved that the two-NLMS algorithm is better performance to other methods and the experimental results are confirmed by simulations. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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