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Transceivers operating in frequency division duplex experience a transmitterleakage (TxL) signal into the receiver due to the limited duplexer stop-bandisolation. This TxL signal in combination with the second-order nonlinearity ofthe receive mixer may lead to a baseband (BB) second-order intermodulationdistortion (IMD2) with twice the transmit signal bandwidth. In directconversion receivers, this nonlinear IMD2 interference may cause a severesignal-to-interference-plus-noise ratio degradation of the wanted receivesignal. This contribution presents a nonlinear Wiener model recursiveleast-squares (RLS) type adaptive filter for the cancellation of the IMD2interference in the digital BB. The included channel-select-, and DC-notchfilter at the output of the proposed adaptive filter ensure that the providedIMD2 replica includes the receiver front-end filtering. A second, robustversion of the nonlinear RLS algorithm is derived which provides numericalstability for highly correlated input signals which arise in e.g. LTE-Aintra-band multi-cluster transmission scenarios. The performance of theproposed algorithms is evaluated by numerical simulations and by measurementdata.

ieee transactions on microwave theory and techniques

A Robust Nonlinear RLS Type Adaptive Filter for  Second-Order-Intermodulation Distortion Cancellation in FDD LTE and 5G Direct  Conversion Transceivers