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A Robust Nonlinear RLS Type Adaptive Filter for Second-Order-Intermodulation Distortion Cancellation in FDD LTE and 5G Direct Conversion Transceivers.
- Source :
- IEEE Transactions on Microwave Theory & Techniques; May2019, Vol. 67 Issue 5, p1946-1961, 16p
- Publication Year :
- 2019
-
Abstract
- Transceivers operating in frequency division duplex experience a transmitter leakage (TxL) signal into the receiver due to the limited duplexer stopband isolation. This TxL signal in combination with the second-order nonlinearity of the receive mixer may lead to a baseband (BB) second-order intermodulation distortion (IMD2) with twice the transmit signal bandwidth. In direct conversion receivers, this nonlinear IMD2 interference may cause a severe signal-to-interference-plus-noise ratio degradation of the wanted receive signal. This contribution presents a nonlinear Wiener model recursive-least-squares (RLS) type adaptive filter for the cancellation of the IMD2 interference in the digital BB. The included channel-select filter and dc-notch filter at the output of the proposed adaptive filter ensure that the provided IMD2 replica includes the receiver front-end filtering. A second, robust version of the nonlinear recursive-least-squares (RLS) algorithm is derived which provides numerical stability for highly correlated input signals that arise in, e.g., Long-Term Evolution (LTE)-Advanced intra-band multi-cluster transmission scenarios. The performance of the proposed algorithms is evaluated by numerical simulations and by measurement data. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00189480
- Volume :
- 67
- Issue :
- 5
- Database :
- Complementary Index
- Journal :
- IEEE Transactions on Microwave Theory & Techniques
- Publication Type :
- Academic Journal
- Accession number :
- 136386117
- Full Text :
- https://doi.org/10.1109/TMTT.2019.2896513