I/Q Imbalance Compensation Algorithm based on Neural Networks

• Autorzy: Kirei B. S. , Topa M. , Neag M. , Onet R. C.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

low-IF receiver; I/Q imbalance compensation; image rejection; neural networks

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2009
• Tom: Vol. 3, No. 2
• Strony: 66--71
• Opis fizyczny: Bibliogr. 9 poz., rys.

Twórcy

autor

Kirei B. S.

autor

Topa M.

autor

Neag M.

autor

Onet R. C.

• Technical University from Cluj-Napoca, Department of Basis of Electronics, C. Daicoviciu. 15, 400020 Cluj Napoca, Romania,

Bibliografia

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• [2] Gil Gye-Tae, Kim Young-Doo, Lee Yong H., “Non-Data-Aided Approach to I/Q Mismatch Compansation in Low-IF Receivers”, Transaction on Signal Processing, vol. 55, no. 7, July 2007, pp. 3360-3365.
• [3] Yu L., Snelgrove W. M., “A Novel Adaptive Mismatch Cancellation System for Quadrature IF Radio Receivers”, IEEE Trans. on. Circuits and Systems II: Analog and Digital Signal Processing, vol. 46, no. 6, June 1999, pp.789-801.
• [4] Kirei B. S., Dornean I., Topa M., “Image Rejection Filter Based on Complex LMS Filter for Low-IF Receiver”. In:Proceedings of IEEE - ELMAR 2008, vol. 1, Zadar, Croatia,10 -12 September 2008, ISBN 978-953-7044-08-4,pp. 203-206.
• [5] Windisch M., Fettweis G., „Blind I/Q Imbalance Parameter Estimation And Compensation In Low-If Receivers”.In:IEEE Proceedings of 1 International Symposium on Control, Communications and Signal Processing (ISCCSP '04), Hammamet, Tunisia, March 2004.
• [6] Glas J.P.F., „Digital I/Q Imbalance Compensations in a Low-IF Receiver”, IEEE Global Telecommunications Conference 1998 (GLOBECOM'98) The Bridge to Global Integration, vol. 3, 1998, pp. 1461 1466.
• [7] Kiss P., Arias J., Li D., Boccuzzi V., “Stable high-order delta-sigma DACs”. In:IEEE Proceeding of the 2003 International Symposium on Circuits and Systems, vol. 1,May 2003, pp. 985-988.
• [8] Farhang-Boroujeny B.,Adaptive Filters - Theory and Applications, John Wiley & Sons, 1998, ISBN 0-471-98337-3, pp. 178-182.
• [9] Haykin S.,Neural Networks - A Comprehensive Foundation, Prentice Hall, 1999, ISBN 0-7803-3494-9, pp. 118-137.