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Modeling and Joint Mitigation of TX and RX Nonlinearity Induced Receiver Desensitization

Research output: Contribution to journalArticleScientificpeer-review


Original languageEnglish
Pages (from-to)2427-2442
Number of pages16
JournalIEEE Transactions on Microwave Theory and Techniques
Issue number7
Early online date7 Feb 2017
Publication statusPublished - 2017
Publication typeA1 Journal article-refereed


In this article, we provide detailed modeling of the spurious intermodulation distortion (IMD) products appearing in the own receiver (RX) operating band as a result of coexisting transmitter (TX) and RX nonlinearities with noncontiguous carrier aggregation (CA) transmissions. Furthermore, an efficient baseband digital signal processing technique is proposed, which can flexibly mitigate the resulting receiver in-band self-interference caused either by individual or simultaneously coexisting TX and RX nonlinearities. The technique is based on accurately estimating the effective leakage channel that models the nonlinearities of the transmitter and receiver chains and the duplexer filters characteristics. In the parameter estimation stage, an observation receiver chain is adopted for separately estimating the TX passband leakage response, which facilitates efficient joint estimation and regeneration of the TX and RX induced self-interference. In the online digital cancellation, the actual transmit data is used in conjunction with the estimated channel responses to generate a replica of the overall nonlinear self-interference, which is subsequently suppressed by subtracting it from the actual observation. In general, the proposed technique can efficiently estimate and suppress the self-interference at arbitrary spurious sub-bands located at the RX band. The performance evaluations with comprehensive numerical simulations and practical RF measurements indicate that the proposed technique can achieve up to 28 dB of measured self-interference suppression.


  • Carrier aggregation (CA), digital cancellation, desensitization, frequency division duplexing (FDD), intermodulation distortion (IMD), low noise amplifier, LTE-advanced, power amplifier, self-interference, spurious emissions, 5G

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