- Tytuł:
- I/Q Imbalance Compensation Algorithm based on Neural Networks
- Autorzy:
-
Kirei, B. S.
Topa, M.
Neag, M.
Onet, R. C. - Powiązania:
- https://bibliotekanauki.pl/articles/385018.pdf
- Data publikacji:
- 2009
- Wydawca:
- Sieć Badawcza Łukasiewicz - Przemysłowy Instytut Automatyki i Pomiarów
- Tematy:
-
low-IF receiver
I/Q imbalance compensation
image rejection
neural networks - Opis:
- This paper proposed an I/Q imbalance compensation algorithm based on neural networks, suitable for low-IF receivers. First, the low-IF receiver architecture and the phenomena of I/Q imbalance (also referred as image interference) are described. The standard solution - using a complex LMS adaptive filter, which separates the desired, and image signals - is limited in that the recovered signal remains affected by the I/Q imbalance; the filter proposed here corrects this drawback. The functionality, convergence and stability of the neural network based filter are demonstrated through extensive computer simulations. A sizing example is also given - deduction of the number of sample necessary in order to achieve a -60 dB image rejection - along with the time domain behaviour of the resulting neural network.
- Źródło:
-
Journal of Automation Mobile Robotics and Intelligent Systems; 2009, 3, 2; 66-71
1897-8649
2080-2145 - Pojawia się w:
- Journal of Automation Mobile Robotics and Intelligent Systems
- Dostawca treści:
- Biblioteka Nauki
Artykuł