Digital Suppression of Transmitter Leakage in FDD RF Transceivers: Aliasing Elimination and Model Selection

作者：Cao, Wenhui^*; Li, Yue; Zhu, Anding

来源：IEEE Transactions on Microwave Theory and Techniques, 2018, 66(3): 1500-1511.

DOI：10.1109/TMTT.2017.2772789

• Aliasing effect
• aliasing elimination
• behavioral model
• cross terms
• frequency-division duplexing (FDD)
• leakage suppression
• low sampling rate
• transceiver

The transmitter (TX)-induced interference due to power amplifier nonlinearities poses severe desensitization problems to the receiver chain in frequency-division duplexing transceivers. Due to nonlinear signal process involved, a high sampling rate is normally required in the existing digital suppression approaches, which can result in high cost and high power consumption in wideband systems. In this paper, a new digital suppression model is proposed to cancel the TX leakage at base-band with a low sampling rate. The cancellation model is based on the modified decomposed vector rotation model. With the addition of cross-term products, the enhanced model is capable of eliminating the aliasing effect arising from the reduced sampling rate. Theoretical analysis of aliasing elimination is presented, and the algorithm is subsequently verified by both simulation and experiment results, confirming the effectiveness and feasibility of the proposed cancellation technique for TX leakage suppression. Compared with conventional solutions, the new approach uses much less hardware resource and consumes much lower power while achieving comparable performance.

• 出版日期2018-3
• 单位杭州电子科技大学