Kernel Recursive Least Squares Based Cancellation of Second-Order Intermodulation Distortion

Due to the non-ideal components in the analog front-end of frequency division duplex transceivers a part of the transmit signal leaks into the receive path. Together with nonlinear effects in the receiver this leads to self-interferences with possibly high power levels. An important example is the s...

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Vydáno v:Conference record - Asilomar Conference on Signals, Systems, & Computers s. 1 - 5
Hlavní autoři: Auer, C., Paireder, T., Lang, O., Huemer, M.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.11.2020
Témata:
Adaptation models
Adaptive filters
Filtering algorithms
Interference cancellation
Intermodulation distortion
kernel adaptive filtering
kernel recursive least squares algorithm
LTE
mobile transceiver
Receivers
Transceivers
ISSN:2576-2303
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Shrnutí:Due to the non-ideal components in the analog front-end of frequency division duplex transceivers a part of the transmit signal leaks into the receive path. Together with nonlinear effects in the receiver this leads to self-interferences with possibly high power levels. An important example is the second-order intermodulation distortion (IMD2), since it occurs independently of the transmit carrier frequency. Model based adaptive filtering algorithms are one way to mitigate the IMD2 interference. In this work, we investigate kernel adaptive filters for self interference cancellation, which do not need a model of the specific interference. We focus on a particular variant, the kernel recursive least squares (KRLS). We compare the cancellation performance of this algorithm to recently published nonlinear adaptive filter that are tailored to the IMD2 problem. It turns out that the KRLS clearly outperforms the model based approach, especially for high transmit power levels.
ISSN:2576-2303
DOI:10.1109/IEEECONF51394.2020.9443382