Analysis and implementation of the Frequency Retranslation Method for transceiver linearization

Date

2023-9

Author

Özgün, Ali

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For applications where amplifier linearization is insufficient, linearization for the whole system might be required. The Frequency Retranslation Method (FRM) is a novel linearization technique for mixers, also applicable to transmitters and receivers. FRM improves the dynamic range of the system by suppressing the intermodulation distortion (IMD) and harmonic distortion (HD) products and interference signals. For the detailed analysis of FRM, a novel behavioral mixer model is constructed in multi-box form. The model evaluates both the amplitude and phase nonlinearities and memory behavior of a mixer for the first time in the literature. Using the mixer model and circuit simulations, FRM is deeply investigated, and the principles for IMD suppression are revealed. The main signal suppression is a distinguishing feature of FRM to realize IMD suppression without affecting the fundamental signals. The thesis examines the main tone suppression and successfully shows the improvement with closed-loop. Still, the effect of fundamental tones on the output is investigated, and potential P1dB improvement with FRM is successfully explored and demonstrated. Also, a stability analysis for FRM is provided for the first time to determine the limits for a stable linearization. Using the graphical stability boundaries, stability margins for various system parameters are practically extracted. At the end of the study, the presented measurements over a wide range of parameters support the theoretical findings with the help of the extensive test circuit and measurement setup. The alignment between the theoretical findings and experimental results verifies the advantages of FRM as a linearization method.

Subject Keywords

Frequency Retranslation Method, Mixer, Linearization, Intermodulation Distortion, Stability Analysis

URI

https://hdl.handle.net/11511/105372

Collections

Graduate School of Natural and Applied Sciences, Thesis