Dynamic Offset Mitigation in Diversity Receivers using ICA

In this article, we devise a blind digital signal processing (DSP) method for mitigating the dynamic offset interference due to self-mixing of radio frequency (RF) interferers in multiantenna diversity receiver context, utilizing the direct- conversion radio architecture. The proposed method is base...

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Bibliographic Details
Main Authors: Shahed hagh ghadam, A., Huovinen, T., Valkama, M.
Format: Conference Proceeding
Language:English
Subjects:
Channel state information
Computer architecture
Computer simulation
Concrete
Digital signal processing
Independent component analysis
Radio frequency
Radiofrequency interference
Receivers
Signal to noise ratio
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Summary:In this article, we devise a blind digital signal processing (DSP) method for mitigating the dynamic offset interference due to self-mixing of radio frequency (RF) interferers in multiantenna diversity receiver context, utilizing the direct- conversion radio architecture. The proposed method is based on independent component analysis (ICA) and does not require any channel state information or knowledge about the physical self-mixing or interference characteristics. Moreover, we demonstrate through computer simulations that the overall achievable signal-to-interference-plus-noise ratio (SINR) obtained using the proposed technique is extremely close to the maximum SINR achievable by any linear method. Thus the ICA processing yields optimum compromise between the processing of noise and offset interference in this sense. We also demonstrate through concrete design examples how the proposed method helps relaxing certain constraints on the receivers' RF components.
ISSN:2166-9570
DOI:10.1109/PIMRC.2007.4394651